
{"id":229857,"date":"2025-11-16T20:41:28","date_gmt":"2025-11-16T21:41:28","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/supercourse-0000000325\/"},"modified":"2025-12-24T16:25:49","modified_gmt":"2025-12-24T17:25:49","slug":"supercourse-0000000325","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/supercourse-0000000325\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u0633\u0631\u0639\u062a \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u0648\u06cc\u062f\u06cc\u0648\u0647\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc + \u067e\u0627\u062f\u06a9\u0633\u062a \u0647\u0627\u06cc \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc + \u06a9\u062a\u0627\u0628 \u0647\u0627\u06cc \u062c\u0627\u0645\u0639 PDF \u0641\u0627\u0631\u0633\u06cc + \u06a9\u062a\u0627\u0628 \u0647\u0627\u06cc PDF \u0641\u0627\u0631\u0633\u06cc \u06f2\u06f0\u06f0\u06f0 \u0646\u06a9\u062a\u0647 + \u06a9\u062a\u0627\u0628 \u0647\u0627\u06cc PDF \u0641\u0627\u0631\u0633\u06cc \u06f4\u06f0\u06f0\u06f0 \u06a9\u0648\u06cc\u06cc\u0632 + \u06f6\u06f0\u06f0\u06f0 \u0641\u0644\u0634 \u06a9\u0627\u0631\u062a (\u0628\u0647 \u0635\u0648\u0631\u062a \u0627\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646 \u062c\u0639\u0628\u0647 \u062d\u0627\u0641\u0638\u0647)"},"content":{"rendered":"<div style=\"background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); padding: 30px; border-radius: 15px; color: white; margin-bottom: 30px;\">\n<h2 style=\"color: white; text-align: center; margin-bottom: 20px;\">\ud83c\udf93 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062c\u0627\u0645\u0639<\/h2>\n<\/p><\/div>\n<div style=\"margin-bottom: 30px;\">\n<h3 style=\"color: #333; margin-bottom: 15px;\">\ud83d\udcda \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062f\u0648\u0631\u0647<\/h3>\n<p style=\"font-size: 16px; line-height: 1.8;\"><strong>\u0639\u0646\u0648\u0627\u0646 \u062f\u0648\u0631\u0647:<\/strong> \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u0633\u0631\u0639\u062a<\/p>\n<p style=\"font-size: 16px; line-height: 1.8;\"><strong>\u0645\u0648\u0636\u0648\u0639 \u06a9\u0644\u06cc:<\/strong> \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc<\/p>\n<p style=\"font-size: 16px; line-height: 1.8;\"><strong>\u0645\u0648\u0636\u0648\u0639 \u0645\u06cc\u0627\u0646\u06cc:<\/strong> \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0633\u0637\u062d \u0628\u0627\u0644\u0627 (High-Performance Computing)<\/p>\n<\/div>\n<div style=\"margin-bottom: 30px;\">\n<h3 style=\"color: #333; margin-bottom: 15px;\">\ud83d\udccb \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u062f\u0648\u0631\u0647 (100 \u0645\u0648\u0636\u0648\u0639)<\/h3>\n<ul style=\"list-style-type: none; padding: 0;\">\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">1.<\/span> \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u0627\u06cc\u0647 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0633\u0637\u062d \u0628\u0627\u0644\u0627 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">2.<\/span> \u0645\u0639\u0645\u0627\u0631\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u0648 \u062a\u0627\u062b\u06cc\u0631 \u0622\u0646 \u0628\u0631 \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">3.<\/span> \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 GPU \u0648 \u0646\u062d\u0648\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0622\u0646\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">4.<\/span> \u0645\u0639\u0631\u0641\u06cc CUDA \u0648 OpenCL\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">5.<\/span> \u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u062a\u0648\u0633\u0639\u0647 CUDA\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">6.<\/span> \u0627\u0635\u0648\u0644 \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc \u0645\u0648\u0627\u0632\u06cc \u0648 \u0647\u0645\u0632\u0645\u0627\u0646\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">7.<\/span> \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u067e\u0631\u0648\u0641\u0627\u06cc\u0644\u06cc\u0646\u06af \u06a9\u062f \u0628\u0631\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06af\u0644\u0648\u06af\u0627\u0647\u200c\u0647\u0627\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">8.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062d\u0627\u0641\u0638\u0647 \u062f\u0631 GPU\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">9.<\/span> \u0627\u0646\u062a\u0642\u0627\u0644 \u062f\u0627\u062f\u0647 \u0628\u06cc\u0646 CPU \u0648 GPU\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">10.<\/span> \u0645\u0641\u0647\u0648\u0645 Kernel Fusion\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">11.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Tensor Cores \u062f\u0631 GPU\u0647\u0627\u06cc NVIDIA\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">12.<\/span> \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u0627\u062a\u0631\u06cc\u0633 \u0636\u0631\u0628 (Matrix Multiplication) \u062f\u0631 CUDA\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">13.<\/span> \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc Convolution \u0628\u0647\u06cc\u0646\u0647 \u0634\u062f\u0647\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">14.<\/span> \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc Dense (Fully Connected) \u062f\u0631 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">15.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062a\u0648\u0627\u0628\u0639 Activation\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">16.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc Pooling\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">17.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc Normalization (Batch Normalization, Layer Normalization)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">18.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc Quantization \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u062d\u062c\u0645 \u0645\u062f\u0644\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">19.<\/span> Quantization Aware Training\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">20.<\/span> Post-Training Quantization\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">21.<\/span> Dynamic Quantization\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">22.<\/span> Pruning \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u062a\u0639\u062f\u0627\u062f \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0645\u062f\u0644\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">23.<\/span> Magnitude Pruning\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">24.<\/span> Structured Pruning\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">25.<\/span> Unstructured Pruning\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">26.<\/span> Knowledge Distillation \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u0642\u0627\u0644 \u062f\u0627\u0646\u0634 \u0627\u0632 \u0645\u062f\u0644 \u0628\u0632\u0631\u06af \u0628\u0647 \u0645\u062f\u0644 \u06a9\u0648\u0686\u06a9\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">27.<\/span> \u0645\u0639\u0631\u0641\u06cc \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc Lightweight (MobileNet, EfficientNet)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">28.<\/span> AutoML \u0648 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u062f\u0644\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">29.<\/span> Network Architecture Search (NAS)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">30.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u067e\u0631\u0648\u0641\u0627\u06cc\u0644\u06cc\u0646\u06af \u062f\u0631 TensorFlow\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">31.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u067e\u0631\u0648\u0641\u0627\u06cc\u0644\u06cc\u0646\u06af \u062f\u0631 PyTorch\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">32.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc Data Pipeline \u062f\u0631 TensorFlow\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">33.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc Data Pipeline \u062f\u0631 PyTorch\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">34.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 tf.data \u0648 torch.utils.data \u0628\u0647\u06cc\u0646\u0647\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">35.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 AMP (Automatic Mixed Precision) \u0628\u0631\u0627\u06cc \u0633\u0631\u0639\u062a \u0628\u062e\u0634\u06cc\u062f\u0646 \u0628\u0647 \u0622\u0645\u0648\u0632\u0634\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">36.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Gradient Accumulation \u0628\u0631\u0627\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 Batch Size \u0645\u0648\u062b\u0631\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">37.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc Optimizer\u0647\u0627 (Adam, SGD)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">38.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Learning Rate Scheduling\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">39.<\/span> Early Stopping \u0628\u0631\u0627\u06cc \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 Overfitting\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">40.<\/span> Gradient Clipping \u0628\u0631\u0627\u06cc \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 Exploding Gradients\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">41.<\/span> Batch Size \u0648 \u062a\u0627\u062b\u06cc\u0631 \u0622\u0646 \u0628\u0631 \u0639\u0645\u0644\u06a9\u0631\u062f \u0648 \u062d\u0627\u0641\u0638\u0647\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">42.<\/span> \u0645\u0639\u0631\u0641\u06cc Distributed Training\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">43.<\/span> Data Parallelism\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">44.<\/span> Model Parallelism\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">45.<\/span> Tensor Parallelism\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">46.<\/span> Pipeline Parallelism\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">47.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Horovod \u0628\u0631\u0627\u06cc Distributed Training\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">48.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PyTorch DDP (Distributed Data Parallel)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">49.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TensorFlow MirroredStrategy\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">50.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0627\u0631\u062a\u0628\u0627\u0637\u0627\u062a \u0628\u06cc\u0646 \u06af\u0631\u0647\u200c\u0647\u0627 \u062f\u0631 Distributed Training\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">51.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 InfiniBand \u0648 NVLink\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">52.<\/span> \u0645\u0639\u0631\u0641\u06cc NVIDIA Collective Communications Library (NCCL)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">53.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc Input\/Output (I\/O) \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">54.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0641\u0631\u0645\u062a\u200c\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u06a9\u0627\u0631\u0622\u0645\u062f (TFRecord, Parquet)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">55.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 caching \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u0632\u0645\u0627\u0646 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u062f\u0627\u062f\u0647\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">56.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Remote Direct Memory Access (RDMA)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">57.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644 \u0631\u0648\u06cc Edge Device\u0647\u0627\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">58.<\/span> TensorFlow Lite\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">59.<\/span> PyTorch Mobile\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">60.<\/span> ONNX Runtime\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">61.<\/span> TVM (Apache TVM)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">62.<\/span> NVIDIA TensorRT\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">63.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 FPGA \u0628\u0631\u0627\u06cc \u0634\u062a\u0627\u0628 \u062f\u0647\u06cc \u0628\u0647 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">64.<\/span> \u0645\u0639\u0631\u0641\u06cc \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0633\u0641\u0627\u0631\u0634\u06cc \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">65.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc Compilation \u0628\u0631\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u06a9\u062f (XLA, JIT)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">66.<\/span> \u0628\u0631\u0631\u0633\u06cc \u0645\u0648\u0631\u062f\u06cc: \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u062a\u0635\u0648\u06cc\u0631\u0628\u0631\u062f\u0627\u0631\u06cc \u067e\u0632\u0634\u06a9\u06cc\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">67.<\/span> \u0628\u0631\u0631\u0633\u06cc \u0645\u0648\u0631\u062f\u06cc: \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">68.<\/span> \u0628\u0631\u0631\u0633\u06cc \u0645\u0648\u0631\u062f\u06cc: \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0634\u06cc\u0627\u0621\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">69.<\/span> \u0628\u0631\u0631\u0633\u06cc \u0645\u0648\u0631\u062f\u06cc: \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0645\u062f\u0644 Recommendation System\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">70.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0628\u0631\u0627\u06cc inference \u062f\u0631 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0632\u0631\u06af\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">71.<\/span> \u0645\u0639\u0631\u0641\u06cc \u0633\u0631\u0648\u06cc\u0633\u200c\u0647\u0627\u06cc Cloud \u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0633\u0637\u062d \u0628\u0627\u0644\u0627 (AWS, Azure, GCP)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">72.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Kubernetes \u0628\u0631\u0627\u06cc \u0645\u062f\u06cc\u0631\u06cc\u062a \u0645\u0646\u0627\u0628\u0639 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">73.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Docker \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u062a\u06a9\u0631\u0627\u0631\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">74.<\/span> CI\/CD \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">75.<\/span> \u0627\u062a\u0648\u0645\u0627\u0633\u06cc\u0648\u0646 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">76.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 MLflow \u0628\u0631\u0627\u06cc \u0645\u062f\u06cc\u0631\u06cc\u062a \u0686\u0631\u062e\u0647 \u062d\u06cc\u0627\u062a \u0645\u062f\u0644\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">77.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TensorBoard \u0628\u0631\u0627\u06cc visualiz \u0646\u0645\u0648\u062f\u0646 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">78.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Weights &amp; Biases \u0628\u0631\u0627\u06cc \u0631\u062f\u06cc\u0627\u0628\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u200c\u0647\u0627\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">79.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0628\u0631\u0627\u06cc \u0645\u0635\u0631\u0641 \u0627\u0646\u0631\u0698\u06cc\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">80.<\/span> Green AI\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">81.<\/span> Measurement of Energy Consumption\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">82.<\/span> Benchmarking \u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">83.<\/span> \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u06a9\u0627\u0647\u0634 \u062e\u0637\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc (Numerical Stability)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">84.<\/span> \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 vanishing gradients \u0648 exploding gradients\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">85.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0628\u0631\u0627\u06cc \u0634\u0631\u0627\u06cc\u0637 \u06a9\u0645\u0628\u0648\u062f \u062d\u0627\u0641\u0638\u0647 (Out-of-Memory Errors)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">86.<\/span> Debugging \u0648 Troubleshooting \u062f\u0631 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0633\u0637\u062d \u0628\u0627\u0644\u0627\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">87.<\/span> \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u06a9\u0627\u0645\u067e\u0627\u06cc\u0644\u0631\u0647\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 (Compiler Optimization)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">88.<\/span> Vectorization \u0648 SIMD (Single Instruction, Multiple Data)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">89.<\/span> Loop Unrolling\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">90.<\/span> Memory Alignment\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">91.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 profiler\u0647\u0627\u06cc \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631\u06cc\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">92.<\/span> \u0645\u0639\u0631\u0641\u06cc \u0646\u0633\u0644 \u062c\u062f\u06cc\u062f \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631\u0647\u0627 (AI Accelerators)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">93.<\/span> \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644 \u062f\u0631 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">94.<\/span> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc Hybrid CPU-GPU\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">95.<\/span> \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc Fused Multiply-Add (FMA)\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">96.<\/span> Data layout optimization\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">97.<\/span> Exploiting data sparsity\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">98.<\/span> Graph optimization\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">99.<\/span> Operator fusion\n                    <\/li>\n<li style=\"padding: 8px 0; border-bottom: 1px solid #eee;\">\n                        <span style=\"color: #667eea; font-weight: bold;\">100.<\/span> Code specialization\n                    <\/li>\n<\/ul>\n<\/div>\n<div style=\"margin-bottom: 30px;\"><!DOCTYPE html><br \/>\n<html lang=\"fa\"><br \/>\n<head><br \/>\n    <meta charset=\"UTF-8\"><br \/>\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\"><br \/>\n    <title>\u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u0633\u0631\u0639\u062a<\/title><\/p>\n<style>\n        body {\n            font-family: 'IRANSans', sans-serif;\n            line-height: 1.6;\n            margin: 20px;\n            color: #333;\n        }\n        h1, h2, h3 {\n            color: #0056b3;\n            margin-bottom: 15px;\n        }\n        h2 {\n            border-bottom: 2px solid #0056b3;\n            padding-bottom: 5px;\n        }\n        ul {\n            list-style-type: disc;\n            margin-left: 20px;\n            margin-bottom: 15px;\n        }\n        li {\n            margin-bottom: 8px;\n        }\n        .cta-button {\n            display: inline-block;\n            background-color: #28a745;\n            color: white;\n            padding: 12px 25px;\n            text-decoration: none;\n            border-radius: 5px;\n            font-weight: bold;\n            margin-top: 20px;\n            transition: background-color 0.3s ease;\n        }\n        .cta-button:hover {\n            background-color: #218838;\n        }\n    <\/style>\n<p><\/head><br \/>\n<body><\/p>\n<h1>\ud83d\ude80 \u0633\u0631\u0639\u062a \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0646\u0641\u062c\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f: \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u0633\u0631\u0639\u062a \ud83d\ude80<\/h1>\n<h2>\u0645\u0639\u0631\u0641\u06cc \u062f\u0648\u0631\u0647<\/h2>\n<p>\u0622\u06cc\u0627 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0634\u0645\u0627 \u0632\u0645\u0627\u0646 \u0632\u06cc\u0627\u062f\u06cc \u0631\u0627 \u0635\u0631\u0641 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u062c\u0631\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f\u061f \u0622\u06cc\u0627 \u062f\u0627\u0626\u0645\u0627\u064b \u0628\u0627 \u0645\u062d\u062f\u0648\u062f\u06cc\u062a\u200c\u0647\u0627\u06cc \u0633\u062e\u062a\u200c\u0627\u0641\u0632\u0627\u0631\u06cc \u0648 \u0632\u0645\u0627\u0646 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0633\u062a \u0648 \u067e\u0646\u062c\u0647 \u0646\u0631\u0645 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u062f\u061f \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0631\u0642\u0627\u0628\u062a\u06cc \u0627\u0645\u0631\u0648\u0632\u060c \u0633\u0631\u0639\u062a \u0646\u0647 \u062a\u0646\u0647\u0627 \u06cc\u06a9 \u0645\u0632\u06cc\u062a\u060c \u0628\u0644\u06a9\u0647 \u06cc\u06a9 \u0636\u0631\u0648\u0631\u062a \u062f\u0631 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u0648\u0641\u0642 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0633\u062a. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062f\u0642\u06cc\u0642\u0627\u064b \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u062a\u0627 \u0628\u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u067e\u062a\u0627\u0646\u0633\u06cc\u0644 \u06a9\u0627\u0645\u0644 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0648 \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0637\u0631\u0632 \u0686\u0634\u0645\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u0627 \u06af\u0630\u0631\u0627\u0646\u062f\u0646 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u0634\u0645\u0627 \u0646\u0647 \u062a\u0646\u0647\u0627 \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0646\u0638\u0631\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0633\u0637\u062d \u0628\u0627\u0644\u0627 (High-Performance Computing &#8211; HPC) \u062f\u0631 \u062d\u0648\u0632\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f\u060c \u0628\u0644\u06a9\u0647 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627 \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0631\u0627 \u06cc\u0627\u062f \u0645\u06cc\u200c\u06af\u06cc\u0631\u06cc\u062f \u06a9\u0647 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0631 \u0631\u0648\u06cc \u0633\u0631\u0639\u062a \u0648 \u06a9\u0627\u0631\u0627\u06cc\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc\u062a\u0627\u0646 \u062a\u0623\u062b\u06cc\u0631 \u0645\u06cc\u200c\u06af\u0630\u0627\u0631\u0646\u062f. \u0645\u0627 \u0627\u0632 \u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc\u200c\u0647\u0627 \u0639\u0628\u0648\u0631 \u06a9\u0631\u062f\u0647 \u0648 \u0628\u0647 \u0642\u0644\u0628 \u0631\u0627\u0647\u200c\u062d\u0644\u200c\u0647\u0627 \u0645\u06cc\u200c\u067e\u0631\u062f\u0627\u0632\u06cc\u0645 \u062a\u0627 \u0628\u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u062e\u0648\u062f\u060c \u062a\u062d\u0648\u0644 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f.<\/p>\n<h2>\u062f\u0631\u0628\u0627\u0631\u0647 \u062f\u0648\u0631\u0647<\/h2>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc\u060c \u062f\u0631\u06cc\u0686\u0647\u200c\u0627\u06cc \u0628\u0647 \u062f\u0646\u06cc\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627\u0632 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0628\u0627 \u062a\u0645\u0631\u06a9\u0632 \u0628\u0631 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u060c \u0645\u0627 \u0628\u0647 \u0634\u0645\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645 \u0686\u06af\u0648\u0646\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0633\u062e\u062a\u200c\u0627\u0641\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062f\u0631\u0646 \u0648 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u06a9\u0627\u0631\u0622\u0645\u062f\u060c \u0633\u0631\u0639\u062a \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0633\u062a\u0646\u062a\u0627\u062c (inference) \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0634\u062f\u062a \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u06cc\u062f. \u0647\u062f\u0641 \u0627\u0635\u0644\u06cc\u060c \u062a\u0648\u0627\u0646\u0645\u0646\u062f\u0633\u0627\u0632\u06cc \u0634\u0645\u0627 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0633\u0631\u06cc\u0639\u200c\u062a\u0631\u060c \u0645\u0642\u06cc\u0627\u0633\u200c\u067e\u0630\u06cc\u0631\u062a\u0631 \u0648 \u0645\u0642\u0631\u0648\u0646 \u0628\u0647 \u0635\u0631\u0641\u0647\u200c\u062a\u0631 \u0627\u0633\u062a.<\/p>\n<h2>\u0645\u0648\u0636\u0648\u0639\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc<\/h2>\n<ul>\n<li>\u0645\u0628\u0627\u0646\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0645\u0648\u0627\u0632\u06cc \u0648 \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647<\/li>\n<li>\u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0633\u062e\u062a\u200c\u0627\u0641\u0632\u0627\u0631\u06cc (GPU, TPU)<\/li>\n<li>\u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u06a9\u0648\u0627\u0646\u062a\u06cc\u0632\u0627\u0633\u06cc\u0648\u0646 (Quantization) \u0645\u062f\u0644\u200c\u0647\u0627<\/li>\n<li>\u0647\u0631\u0633 \u06a9\u0631\u062f\u0646 (Pruning) \u0648 \u0641\u0634\u0631\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644<\/li>\n<li>\u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0628\u0631\u0627\u06cc \u0633\u0631\u0639\u062a<\/li>\n<li>\u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u067e\u0631\u0648\u0641\u0627\u06cc\u0644\u06cc\u0646\u06af (Profiling)<\/li>\n<li>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc HPC<\/li>\n<li>\u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0632\u0645\u0627\u0646 \u0627\u062c\u0631\u0627 (Runtime Optimization)<\/li>\n<\/ul>\n<h2>\u0645\u062e\u0627\u0637\u0628\u0627\u0646 \u062f\u0648\u0631\u0647<\/h2>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0637\u06cc\u0641 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u0639\u0644\u0627\u0642\u0647\u200c\u0645\u0646\u062f\u0627\u0646 \u0648 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u062d\u0648\u0632\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0641\u06cc\u062f \u0627\u0633\u062a\u060c \u0627\u0632 \u062c\u0645\u0644\u0647:<\/p>\n<ul>\n<li><strong>\u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0648 \u062f\u0627\u0646\u0634\u0645\u0646\u062f\u0627\u0646 \u062f\u0627\u062f\u0647<\/strong> \u06a9\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0633\u0631\u0639\u062a \u0648 \u06a9\u0627\u0631\u0627\u06cc\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0647\u0633\u062a\u0646\u062f.<\/li>\n<li><strong>\u0645\u062d\u0642\u0642\u0627\u0646 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc<\/strong> \u06a9\u0647 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0627\u062c\u0631\u0627\u06cc \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u0622\u0632\u0645\u0627\u06cc\u0634\u0627\u062a \u0648 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u062f\u0627\u0631\u0646\u062f.<\/li>\n<li><strong>\u062a\u0648\u0633\u0639\u0647\u200c\u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631<\/strong> \u06a9\u0647 \u0642\u0635\u062f \u062f\u0627\u0631\u0646\u062f \u0642\u0627\u0628\u0644\u06cc\u062a\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0631\u0627 \u0628\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0627\u0644\u0627 \u062f\u0631 \u0645\u062d\u0635\u0648\u0644\u0627\u062a \u062e\u0648\u062f \u0627\u062f\u063a\u0627\u0645 \u06a9\u0646\u0646\u062f.<\/li>\n<li><strong>\u062f\u0627\u0646\u0634\u062c\u0648\u06cc\u0627\u0646 \u0648 \u0639\u0644\u0627\u0642\u0647\u200c\u0645\u0646\u062f\u0627\u0646<\/strong> \u0628\u0647 \u0645\u0628\u0627\u062d\u062b \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0648 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0633\u0637\u062d \u0628\u0627\u0644\u0627.<\/li>\n<li>\u0647\u0631 \u06a9\u0633\u06cc \u06a9\u0647 \u0628\u0627 \u0686\u0627\u0644\u0634\u200c\u0647\u0627\u06cc <strong>\u0632\u0645\u0627\u0646 \u067e\u0631\u062f\u0627\u0632\u0634 \u0637\u0648\u0644\u0627\u0646\u06cc<\/strong> \u0648 <strong>\u0645\u062d\u062f\u0648\u062f\u06cc\u062a \u0645\u0646\u0627\u0628\u0639 \u0633\u062e\u062a\u200c\u0627\u0641\u0632\u0627\u0631\u06cc<\/strong> \u062f\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0648\u0628\u0631\u0648 \u0627\u0633\u062a.<\/li>\n<\/ul>\n<h2>\u0686\u0631\u0627 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0631\u0627 \u0628\u06af\u0630\u0631\u0627\u0646\u06cc\u0645\u061f<\/h2>\n<p>\u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u067e\u0631\u0633\u0631\u0639\u062a \u0627\u0645\u0631\u0648\u0632\u06cc\u060c \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u06a9\u0646\u062f \u0628\u0647 \u0645\u0639\u0646\u0627\u06cc \u0641\u0631\u0635\u062a\u200c\u0647\u0627\u06cc \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647\u060c \u0647\u0632\u06cc\u0646\u0647\u200c\u0647\u0627\u06cc \u0628\u0627\u0644\u0627\u062a\u0631 \u0648 \u062a\u062c\u0631\u0628\u0647 \u06a9\u0627\u0631\u0628\u0631\u06cc \u0636\u0639\u06cc\u0641 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u063a\u0644\u0628\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0627\u0646\u0639 \u0631\u0627 \u0645\u06cc\u200c\u062f\u0647\u062f:<\/p>\n<ul>\n<li><strong>\u0627\u0641\u0632\u0627\u06cc\u0634 \u0686\u0634\u0645\u06af\u06cc\u0631 \u0633\u0631\u0639\u062a<\/strong>: \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0686\u0646\u062f\u06cc\u0646 \u0628\u0631\u0627\u0628\u0631 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u06a9\u0646\u06cc\u062f.<\/li>\n<li><strong>\u06a9\u0627\u0647\u0634 \u0647\u0632\u06cc\u0646\u0647\u200c\u0647\u0627<\/strong>: \u0628\u0627 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc\u060c \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0633\u062e\u062a\u200c\u0627\u0641\u0632\u0627\u0631\u0647\u0627\u06cc \u06af\u0631\u0627\u0646\u200c\u0642\u06cc\u0645\u062a \u0631\u0627 \u06a9\u0645\u062a\u0631 \u06a9\u0646\u06cc\u062f.<\/li>\n<li><strong>\u0631\u0642\u0627\u0628\u062a\u200c\u067e\u0630\u06cc\u0631\u06cc \u0628\u06cc\u0634\u062a\u0631<\/strong>: \u0645\u062d\u0635\u0648\u0644\u0627\u062a \u0648 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0633\u0631\u0639\u062a \u0648 \u06a9\u0627\u0631\u0627\u06cc\u06cc \u0628\u0627\u0644\u0627\u062a\u0631 \u0628\u0647 \u0628\u0627\u0632\u0627\u0631 \u0639\u0631\u0636\u0647 \u06a9\u0646\u06cc\u062f.<\/li>\n<li><strong>\u062a\u0633\u0644\u0637 \u0628\u0631 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<\/strong>: \u062f\u0627\u0646\u0634 \u0631\u0648\u0632 \u062f\u0646\u06cc\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0633\u0637\u062d \u0628\u0627\u0644\u0627 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0633\u0628 \u06a9\u0646\u06cc\u062f.<\/li>\n<li><strong>\u062d\u0644 \u0686\u0627\u0644\u0634\u200c\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc<\/strong>: \u0628\u0627 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc\u060c \u0645\u0634\u06a9\u0644\u0627\u062a \u0633\u0631\u0639\u062a \u062f\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u062d\u0644 \u06a9\u0646\u06cc\u062f.<\/li>\n<li><strong>\u06a9\u0633\u0628 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0628\u0627\u0632\u0627\u0631 \u06a9\u0627\u0631<\/strong>: \u062a\u062e\u0635\u0635 \u062f\u0631 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc\u060c \u0634\u0645\u0627 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0646\u06cc\u0631\u0648\u06cc \u0627\u0631\u0632\u0634\u0645\u0646\u062f \u062f\u0631 \u0635\u0646\u0639\u062a \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/li>\n<\/ul>\n<h3>\u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u062c\u0627\u0645\u0639 \u062f\u0648\u0631\u0647 (\u0627\u0634\u0627\u0631\u0647 \u0628\u0647 \u0628\u06cc\u0634 \u0627\u0632 100 \u0633\u0631\u0641\u0635\u0644)<\/h3>\n<p>\u0645\u0627 \u0628\u06cc\u0634 \u0627\u0632 100 \u0633\u0631\u0641\u0635\u0644 \u062c\u0627\u0645\u0639 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0631\u0627 \u067e\u0648\u0634\u0634 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645 \u062a\u0627 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u0648\u0627\u0642\u0639\u06cc \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u0645. \u0627\u06cc\u0646 \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627 \u0634\u0627\u0645\u0644 \u062c\u0632\u0626\u06cc\u0627\u062a \u0639\u0645\u06cc\u0642 \u0641\u0646\u06cc\u060c \u0645\u0637\u0627\u0644\u0639\u0627\u062a \u0645\u0648\u0631\u062f\u06cc \u0648\u0627\u0642\u0639\u06cc \u0648 \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u0634\u0645\u0627 \u0642\u0627\u062f\u0631 \u0628\u0647 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0627\u06cc\u0646 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627 \u062f\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f. \u0628\u0631\u062e\u06cc \u0627\u0632 \u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u06a9\u0647 \u067e\u0648\u0634\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u0639\u0628\u0627\u0631\u062a\u0646\u062f \u0627\u0632:<\/p>\n<ul>\n<li><strong>\u0645\u0628\u0627\u0646\u06cc \u0639\u0645\u06cc\u0642 GPU Programming<\/strong> (CUDA, OpenCL)<\/li>\n<li><strong>\u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u06a9\u0648\u0627\u0646\u062a\u06cc\u0632\u0627\u0633\u06cc\u0648\u0646 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<\/strong> (INT8, FP16, Mixed Precision)<\/li>\n<li><strong>\u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0647\u0631\u0633 \u06a9\u0631\u062f\u0646<\/strong> (Structured vs. Unstructured Pruning)<\/li>\n<li><strong>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0641\u0634\u0631\u062f\u0647 (Knowledge Distillation)<\/strong> \u0628\u0631\u0627\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06a9\u0648\u0686\u06a9\u200c\u062a\u0631 \u0648 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631<\/li>\n<li><strong>\u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0645\u062d\u0628\u0648\u0628<\/strong> (CNNs, RNNs, Transformers)<\/li>\n<li><strong>\u0641\u0631\u06cc\u0645\u200c\u0648\u0631\u06a9\u200c\u0647\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc<\/strong> (TensorRT, OpenVINO, ONNX Runtime)<\/li>\n<li><strong>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u0624\u062b\u0631 \u0627\u0632 \u062d\u0627\u0641\u0638\u0647 \u0648 \u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f<\/strong><\/li>\n<li><strong>\u0645\u0641\u0627\u0647\u06cc\u0645 \u0645\u0648\u0627\u0632\u06cc\u200c\u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0648 \u0645\u062f\u0644<\/strong><\/li>\n<li><strong>\u067e\u0631\u0648\u0641\u0627\u06cc\u0644\u06cc\u0646\u06af \u0648 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06af\u0644\u0648\u06af\u0627\u0647\u200c\u0647\u0627<\/strong> \u062f\u0631 TensorFlow \u0648 PyTorch<\/li>\n<li><strong>\u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u06a9\u0627\u0645\u067e\u0627\u06cc\u0644 \u0645\u062f\u0644<\/strong><\/li>\n<li><strong>\u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0628\u0631\u0627\u06cc \u0633\u062e\u062a\u200c\u0627\u0641\u0632\u0627\u0631\u0647\u0627\u06cc \u062e\u0627\u0635<\/strong> (Edge Devices, Cloud TPUs)<\/li>\n<li><strong>\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062c\u0627\u0645\u0639 \u0639\u0645\u0644\u06a9\u0631\u062f<\/strong> \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647\u200c\u0634\u062f\u0647<\/li>\n<li><strong>\u0648 \u062f\u0647\u200c\u0647\u0627 \u0645\u0648\u0636\u0648\u0639 \u062a\u062e\u0635\u0635\u06cc \u062f\u06cc\u06af\u0631&#8230;<\/strong><\/li>\n<\/ul>\n<p>\u0628\u0627 \u06af\u0630\u0631\u0627\u0646\u062f\u0646 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u0634\u0645\u0627 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u0627\u06cc\u0646 \u0631\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u0634\u062a \u06a9\u0647 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062e\u0648\u062f \u0631\u0627 \u0646\u0647 \u062a\u0646\u0647\u0627 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631\u060c \u0628\u0644\u06a9\u0647 \u0647\u0648\u0634\u0645\u0646\u062f\u0627\u0646\u0647\u200c\u062a\u0631 \u0648 \u06a9\u0627\u0631\u0622\u0645\u062f\u062a\u0631 \u0628\u0633\u0627\u0632\u06cc\u062f. \u0627\u06cc\u0646 \u0633\u0631\u0645\u0627\u06cc\u0647\u200c\u06af\u0630\u0627\u0631\u06cc \u0628\u0631 \u0631\u0648\u06cc \u062f\u0627\u0646\u0634 \u0634\u0645\u0627\u060c \u0628\u0627\u0632\u06af\u0634\u062a \u0633\u0631\u0645\u0627\u06cc\u0647 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u062f\u0631 \u0642\u0627\u0644\u0628 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0645\u0648\u0641\u0642 \u0648 \u0646\u0648\u0622\u0648\u0631\u06cc\u200c\u0647\u0627\u06cc \u0634\u062a\u0627\u0628\u0627\u0646 \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a.<\/p>\n<p>    <a href=\"#\" class=\"cta-button\">\u0647\u0645\u06cc\u0646 \u0627\u0644\u0627\u0646 \u062b\u0628\u062a \u0646\u0627\u0645 \u06a9\u0646\u06cc\u062f \u0648 \u0633\u0631\u0639\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062e\u0648\u062f \u0631\u0627 \u0645\u062a\u062d\u0648\u0644 \u06a9\u0646\u06cc\u062f!<\/a><\/p>\n<p><\/body><br \/>\n<\/html><\/div>\n<div style=\"background: #f0f8ff; border: 2px solid #4A90E2; border-radius: 8px; padding: 20px; margin: 30px 0;\">\n<h3 style=\"color: #1F3A5E; margin-bottom: 15px;\">\ud83d\udce6 \u0645\u062c\u0645\u0648\u0639\u0647 \u0634\u0627\u0645\u0644:<\/h3>\n<ul style=\"list-style-type: none; padding: 0; margin: 0;\">\n<li style=\"padding: 10px 0; border-bottom: 1px solid #ddd;\">\u2705 \u0648\u06cc\u062f\u06cc\u0648\u0647\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc<\/li>\n<li style=\"padding: 10px 0; border-bottom: 1px solid #ddd;\"> \u2705 \u067e\u0627\u062f\u06a9\u0633\u062a \u0647\u0627\u06cc \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc<\/li>\n<li style=\"padding: 10px 0; border-bottom: 1px solid #ddd;\">\u2705 \u06a9\u062a\u0627\u0628 PDF \u0641\u0627\u0631\u0633\u06cc<\/li>\n<li style=\"padding: 10px 0; border-bottom: 1px solid #ddd;\">\u2705 \u06a9\u062a\u0627\u0628 \u06f1\u06f0\u06f0\u06f0 \u0646\u06a9\u062a\u0647 \u0641\u0627\u0631\u0633\u06cc \u062e\u0648\u062f\u0645\u0648\u0646\u06cc<\/li>\n<li style=\"padding: 10px 0; border-bottom: 1px solid #ddd;\">\u2705 \u06a9\u062a\u0627\u0628 \u06f1\u06f0\u06f0\u06f0 \u0646\u06a9\u062a\u0647 \u0631\u0633\u0645\u06cc \u0641\u0627\u0631\u0633\u06cc<\/li>\n<li style=\"padding: 10px 0;\">\u2705 \u06a9\u062a\u0627\u0628 \u06f1\u06f0\u06f0\u06f0 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u06f4 \u06af\u0632\u06cc\u0646\u0647 \u0627\u06cc \u0641\u0627\u0631\u0633\u06cc<\/li>\n<\/ul><\/div>\n<div\r\n    style=\"border: 2px dashed #4CAF50; border-radius: 16px; padding: 20px; background: #f9fff9; font-family: 'IRANSans', sans-serif;\">\r\n    <h2 style=\"color: #2E7D32; margin-top: 0;\">\ud83d\udcda \u0645\u062d\u062a\u0648\u0627\u06cc \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0622\u0645\u0648\u0632\u0634\u06cc (\u067e\u06a9\u06cc\u062c \u06a9\u0627\u0645\u0644)<\/h2>\r\n    <div\r\n        style=\"background: #E8F5E9; border-radius: 12px; padding: 15px 20px; margin-bottom: 20px; border: 1px solid #A5D6A7;\">\r\n        <h3 style=\"color: #1B5E20; margin-top: 0;\">\ud83d\udca1 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u06cc\u06a9 \u0646\u0633\u062e\u0647\u0654 \u06a9\u0627\u0645\u0644 \u0648 \u062c\u0627\u0645\u0639 \u0627\u0633\u062a<\/h3>\r\n        <p style=\"font-size:16px; line-height:1.8; color:#2E7D32; margin:0;\"> \u062a\u0645\u0627\u0645\u06cc \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u0642\u0627\u0644\u0628 \u06cc\u06a9\r\n            \u0628\u0633\u062a\u0647\u200c\u06cc \u06a9\u0627\u0645\u0644 \u0648 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0634\u0627\u0645\u0644 \u062a\u0645\u0627\u0645 \u0646\u0633\u062e\u0647\u200c\u0647\u0627 \u0648 \u0641\u0627\u06cc\u0644\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f\u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0633\u062a. <\/p>\r\n    <\/div>\r\n    <h3 style=\"color: #2E7D32;\">\ud83c\udf81 \u0645\u062d\u062a\u0648\u06cc\u0627\u062a \u06a9\u0627\u0645\u0644 \u0628\u0633\u062a\u0647 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc<\/h3>\r\n\r\n\t\r\n<ul style=\"list-style-type: '\u2705 '; padding-left: 20px; font-size: 16px; line-height: 1.8;\">\r\n    <li><strong>\u0648\u06cc\u062f\u06cc\u0648\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u0622\u0645\u0648\u0632\u0634 \u0642\u062f\u0645\u200c\u0628\u0647\u200c\u0642\u062f\u0645\u060c \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0648 \u0642\u0627\u0628\u0644 \u0641\u0647\u0645<\/li>\r\n    <li><strong>\u067e\u0627\u062f\u06a9\u0633\u062a\u200c\u0647\u0627\u06cc \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u062a\u0648\u0636\u06cc\u062d \u0645\u0641\u0627\u0647\u06cc\u0645 \u06a9\u0644\u06cc\u062f\u06cc \u0648 \u0646\u06a9\u0627\u062a \u062a\u06a9\u0645\u06cc\u0644\u06cc<\/li>\r\n    <li><strong>\u06a9\u062a\u0627\u0628 PDF \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u0634\u0627\u0645\u0644 \u06a9\u0644\u06cc\u0647\u0654 \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627 \u0648 \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc<\/li>\r\n    <li><strong>\u06a9\u062a\u0627\u0628 \u062e\u0644\u0627\u0635\u0647 \u0646\u06a9\u0627\u062a \u0648\u06cc\u062f\u06cc\u0648\u0647\u0627 \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a\u200c\u0647\u0627 \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0645\u0646\u0627\u0633\u0628 \u0645\u0631\u0648\u0631 \u0633\u0631\u06cc\u0639 \u0648 \u062c\u0645\u0639\u200c\u0628\u0646\u062f\u06cc \u0645\u0628\u0627\u062d\u062b<\/li>\r\n    <li><strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u0646\u06a9\u062a\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062e\u0648\u062f\u0645\u0648\u0646\u06cc) \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0632\u0628\u0627\u0646 \u0633\u0627\u062f\u0647 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc<\/li>\r\n    <li><strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u0646\u06a9\u062a\u0647 \u0631\u0633\u0645\u06cc \u0641\u0627\u0631\u0633\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0646\u06af\u0627\u0631\u0634 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f\u060c \u0639\u0644\u0645\u06cc \u0648 \u0645\u0646\u0627\u0633\u0628 \u0686\u0627\u067e<\/li>\r\n\r\n    <li>\r\n        <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u062a\u0634\u0631\u06cc\u062d\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n        \u2014 \u0647\u0631 \u0633\u0624\u0627\u0644 \u0628\u0644\u0627\u0641\u0627\u0635\u0644\u0647 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u067e\u0627\u0633\u062e \u06a9\u0627\u0645\u0644 \u0648 \u0634\u0641\u0627\u0641 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u061b \u0645\u0646\u0627\u0633\u0628 \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0631\u0641\u0639 \u0627\u0628\u0647\u0627\u0645.\r\n    <\/li>\r\n\r\n    <li>\r\n        <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u0686\u0647\u0627\u0631\u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF (\u0646\u0633\u062e\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639)<\/strong><br>\r\n        \u2014 \u067e\u0627\u0633\u062e\u200c\u0647\u0627 \u0628\u0644\u0627\u0641\u0627\u0635\u0644\u0647 \u067e\u0633 \u0627\u0632 \u0633\u0624\u0627\u0644 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u0646\u062f\u061b \u0645\u0646\u0627\u0633\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639 \u0648 \u062a\u062b\u0628\u06cc\u062a \u0645\u0637\u0627\u0644\u0628.\r\n    <\/li>\r\n\r\n    <li>\r\n        <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u0686\u0647\u0627\u0631\u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF (\u0646\u0633\u062e\u0647 \u062e\u0648\u062f\u0622\u0632\u0645\u0627\u06cc\u06cc \u067e\u0627\u06cc\u0627\u0646\u200c\u0628\u062e\u0634)<\/strong><br>\r\n        \u2014 \u067e\u0627\u0633\u062e\u200c\u0647\u0627 \u062f\u0631 \u0627\u0646\u062a\u0647\u0627\u06cc \u0647\u0631 \u0628\u062e\u0634 \u0622\u0645\u062f\u0647\u200c\u0627\u0646\u062f\u061b \u0645\u0646\u0627\u0633\u0628 \u0622\u0632\u0645\u0648\u0646 \u0648\u0627\u0642\u0639\u06cc \u0648 \u0633\u0646\u062c\u0634 \u0645\u06cc\u0632\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc.\r\n    <\/li>\r\n\r\n    <li>\r\n        <strong>\u06a9\u062a\u0627\u0628 \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u062f\u0631\u0633\u062a \/ \u0646\u0627\u062f\u0631\u0633\u062a (True \/ False) \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n        \u2014 \u0645\u0646\u0627\u0633\u0628 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0642\u062a \u0645\u0641\u0647\u0648\u0645\u06cc \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0635\u062d\u06cc\u062d \u06cc\u0627 \u0646\u0627\u062f\u0631\u0633\u062a \u0628\u0648\u062f\u0646 \u06af\u0632\u0627\u0631\u0647\u200c\u0647\u0627.\r\n    <\/li>\r\n\r\n    <li>\r\n        <strong>\u06a9\u062a\u0627\u0628 \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u062c\u0627\u06cc \u062e\u0627\u0644\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n        \u2014 \u062a\u0642\u0648\u06cc\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0641\u0639\u0627\u0644 \u0648 \u062a\u0633\u0644\u0637 \u0628\u0631 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc.\r\n    <\/li>\r\n<\/ul>\r\n\t\r\n\t\r\n\t\r\n\t\r\n    <p style=\"color: #388E3C; font-weight: bold; font-size: 18px; margin-top: 20px;\"> \ud83c\udfaf \u0627\u06cc\u0646 \u0628\u0633\u062a\u0647 \u06cc\u06a9 \u062f\u0648\u0631\u0647\u0654 \u0622\u0645\u0648\u0632\u0634\u06cc \u06a9\u0627\u0645\u0644 \u0648\r\n        \u0686\u0646\u062f\u0644\u0627\u06cc\u0647 \u0627\u0633\u062a\u061b \u0634\u0627\u0645\u0644 \u0622\u0645\u0648\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631\u06cc\u060c \u0635\u0648\u062a\u06cc\u060c \u06a9\u062a\u0627\u0628\u200c\u0647\u0627\u060c \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627   \u0648 \u062e\u0648\u062f\u0622\u0632\u0645\u0627\u06cc\u06cc . <\/p>\r\n    <hr style=\"border: none; border-top: 1px dashed #81C784; margin: 20px 0;\">\r\n    <h3 style=\"color: #2E7D32;\">\u2139\ufe0f \u0646\u06a9\u0627\u062a \u0645\u0647\u0645 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f<\/h3>\r\n    <ul style=\"list-style-type: '\ud83d\udd38 '; padding-left: 20px; font-size: 15px; line-height: 1.9;\">\r\n        <li>\u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a <strong>\u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u06a9\u0627\u0645\u0644<\/strong> \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0646\u0633\u062e\u0647\u0654 \u0686\u0627\u067e\u06cc \u0646\u062f\u0627\u0631\u062f.<\/li>\r\n        <li>\u062a\u0645\u0627\u0645\u06cc \u0641\u0627\u06cc\u0644\u200c\u0647\u0627 \u0648 \u06a9\u062a\u0627\u0628\u200c\u0647\u0627 <strong>\u06a9\u0627\u0645\u0644\u0627\u064b \u0641\u0627\u0631\u0633\u06cc<\/strong> \u0647\u0633\u062a\u0646\u062f.<\/li>\r\n        <li><strong>\u062a\u0648\u062c\u0647:<\/strong> \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627\u06cc \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u062f\u0648\u0631\u0647 \u0637\u06cc <strong>\u06f4\u06f8 \u0633\u0627\u0639\u062a<\/strong> \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/li>\r\n        <li>\u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0646\u06cc\u0633\u062a\u061b \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/li>\r\n        <li>\u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0627\u0646\u0644\u0648\u062f \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 <strong>09395106248<\/strong> \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f.<\/li>\r\n        <li>\u0627\u06af\u0631 \u067e\u0631\u062f\u0627\u062e\u062a \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0648\u0644\u06cc \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u0646\u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f\u060c \u0646\u0627\u0645 \u0648 \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u06a9\u0646\u06cc\u062f \u062a\u0627\r\n            \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u0631\u0633\u0627\u0644 \u0634\u0648\u0646\u062f.<\/li>\r\n    <\/ul>\r\n    <p style=\"font-size: 16px; line-height: 1.8; margin-top: 15px;\"> \ud83d\udcac \u0631\u0627\u0647\u200c\u0647\u0627\u06cc \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc:<br> \u0648\u0627\u062a\u0633\u200c\u0627\u067e \u06cc\u0627 \u067e\u06cc\u0627\u0645\u06a9:\r\n        <strong>09395106248<\/strong><br> \u062a\u0644\u06af\u0631\u0627\u0645: <strong>@ma_limbs<\/strong> <\/p>\r\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u0633\u0631\u0639\u062a \ud83d\ude80 \u0633\u0631\u0639\u062a \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0646\u0641\u062c\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f: \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u0633\u0631\u0639\u062a \ud83d\ude80 \u0645\u0639\u0631\u0641\u06cc \u062f\u0648\u0631\u0647 \u0622\u06cc\u0627 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0634\u0645\u0627 \u0632\u0645\u0627\u0646 \u0632\u06cc\u0627\u062f\u06cc \u0631\u0627 \u0635\u0631\u0641 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u062c\u0631\u0627\u06cc \u067e\u06cc&#8230;<\/p>\n","protected":false},"featured_media":67493,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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