{"id":27968,"date":"2024-03-04T14:59:16","date_gmt":"2024-03-04T14:59:16","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/"},"modified":"2024-03-04T10:36:07","modified_gmt":"2024-03-04T11:36:07","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0645\u062f\u0631\u0646 \u0628\u0627 Pytorch: \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u06cc\u0634 \u0627\u0632 50 \u06a9\u0627\u0631\u0628\u0631\u062f \u062a\u0635\u0648\u06cc\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/03\/9781839213472.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2020\u00a0\u00a0|\u00a0\u00a0805 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 79 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>V Kishore Ayyadevara, Yeshwanth Reddy<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Packt Publishing<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>1839213477<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781839213472<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questions<br \/>\nKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorch<br \/>\nUnderstand the theory and working mechanisms of neural network architectures and their implementation<br \/>\nDiscover best practices using a custom library created especially for this bookBook Description<\/p>\n<p>Deep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to solve over 50 CV problems using PyTorch1.x on real-world datasets.<\/p>\n<p>You&#8217;ll start by building a neural network (NN) from scratch using NumPy and PyTorch and discover best practices for tweaking its hyperparameters. You&#8217;ll then perform image classification using convolutional neural networks and transfer learning and understand how they work. As you progress, you&#8217;ll implement multiple use cases of 2D and 3D multi-object detection, segmentation, human-pose-estimation by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. The book will also guide you in performing facial expression swapping, generating new faces, and manipulating facial expressions as you explore autoencoders and modern generative adversarial networks. You&#8217;ll learn how to combine CV with NLP techniques, such as LSTM and transformer, and RL techniques, such as Deep Q-learning, to implement OCR, image captioning, object detection, and a self-driving car agent. Finally, you&#8217;ll move your NN model to production on the AWS Cloud.<\/p>\n<p>By the end of this book, you&#8217;ll be able to leverage modern NN architectures to solve over 50 real-world CV problems confidently.<br \/>\nWhat you will learn<\/p>\n<p>Train a NN from scratch with NumPy and PyTorch<br \/>\nImplement 2D and 3D multi-object detection and segmentation<br \/>\nGenerate digits and DeepFakes with autoencoders and advanced GANs<br \/>\nManipulate images using CycleGAN, Pix2PixGAN, StyleGAN2, and SRGAN<br \/>\nCombine CV with NLP to perform OCR, image captioning, and object detection<br \/>\nCombine CV with reinforcement learning to build agents that play pong and self-drive a car<br \/>\nDeploy a deep learning model on the AWS server using FastAPI and Docker<br \/>\nImplement over 35 NN architectures and common OpenCV utilities<\/p>\n<p>Who this book is for<\/p>\n<p>This book is for beginners to PyTorch and intermediate-level machine learning practitioners who are looking to get well-versed with computer vision techniques using deep learning and PyTorch. If you are just getting started with neural networks, you&#8217;ll find the use cases accompanied by notebooks in GitHub present in this book useful. Basic knowledge of the Python programming language and machine learning is all you need to get started with this book.<br \/>\nTable of Contents<\/p>\n<p>Artificial Neural Network Fundamentals<br \/>\nPyTorch Fundamentals<br \/>\nBuilding a Deep Neural Network with PyTorch<br \/>\nIntroducing Convolutional Neural Networks<br \/>\nTransfer Learning for object Classification<br \/>\nPractical Aspects of Image Classification<br \/>\nBasics of Object detection<br \/>\nAdvanced object detection<br \/>\nImage segmentation<br \/>\nApplications of object detection and localization<br \/>\nAutoencoders and Image Manipulation<br \/>\nImage generation using GAN<br \/>\nAdvanced GANs to manipulate images<br \/>\nTraining with minimal data points<br \/>\nCombining Computer Vision and NLP techniques<br \/>\nCombining Computer Vision and Reinforcement Learning<br \/>\nMoving a Model to Production<br \/>\nOpenCV utilities for image analysis<\/p>\n<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u0628\u0627 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Pytorch \u0628\u0627 \u06a9\u0645\u06a9 \u0646\u0648\u062a \u0628\u0648\u06a9 \u0647\u0627\u06cc \u06a9\u062f \u0648 \u0633\u0648\u0627\u0644\u0627\u062a \u0622\u0632\u0645\u0627\u06cc\u0634 \u060c \u0628\u0647 \u062f\u0633\u062a \u0628\u06cc\u0627\u0648\u0631\u06cc\u062f<br \/>\n\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc<\/p>\n<p>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Pytorch \u0631\u0627\u0647 \u062d\u0644 \u0647\u0627\u06cc\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc 50 \u0628\u0631\u0646\u0627\u0645\u0647 \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f<br \/>\n\u062a\u0626\u0648\u0631\u06cc \u0648 \u0645\u06a9\u0627\u0646\u06cc\u0633\u0645 \u0647\u0627\u06cc \u06a9\u0627\u0631 \u0645\u0639\u0645\u0627\u0631\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0648 \u0627\u062c\u0631\u0627\u06cc \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631\u06a9 \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u0647\u062a\u0631\u06cc\u0646 \u0634\u06cc\u0648\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0633\u0641\u0627\u0631\u0634\u06cc \u0627\u06cc\u062c\u0627\u062f \u0634\u062f\u0647 \u0628\u0647 \u062e\u0635\u0648\u0635 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u06a9\u0634\u0641 \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/p>\n<p>Deep Learning \u0646\u06cc\u0631\u0648\u06cc \u0645\u062d\u0631\u06a9\u0647 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u067e\u06cc\u0634\u0631\u0641\u062a \u0647\u0627\u06cc \u0627\u062e\u06cc\u0631 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 Vision Computer (CV) \u0627\u0633\u062a.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u06a9\u0645\u06a9 \u0628\u0647 \u0634\u0645\u0627 \u062f\u0631 \u062d\u0644 \u0628\u06cc\u0634 \u0627\u0632 50 \u0645\u0634\u06a9\u0644 CV \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Pytorch1.x \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0634\u0645\u0627 \u0628\u0627 \u0633\u0627\u062e\u062a\u0646 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc (NN) \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Numpy \u0648 Pytorch \u0634\u0631\u0648\u0639 \u0645\u06cc \u06a9\u0646\u06cc\u062f \u0648 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0634\u06cc\u0648\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0627\u062f\u0646 \u0647\u0627\u06cc\u067e\u0631 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0622\u0646 \u06a9\u0634\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u062f.\u0633\u067e\u0633 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc Convolutional \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u06cc\u062f \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0627 \u0627\u0646\u062a\u0642\u0627\u0644 \u0645\u06cc \u062f\u0647\u06cc\u062f \u0648 \u0646\u062d\u0648\u0647 \u06a9\u0627\u0631 \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631\u06a9 \u0645\u06cc \u06a9\u0646\u06cc\u062f.\u0628\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a \u060c \u0634\u0645\u0627 \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u062e\u0627\u0646\u0648\u0627\u062f\u0647 R-CNN \u060c SSD \u060c YOLO \u060c \u0645\u0639\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc U-NET \u0648 \u0633\u06a9\u0648\u06cc Detectron2 \u060c \u0686\u0646\u062f\u06cc\u0646 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0634\u062e\u06cc\u0635 \u0686\u0646\u062f \u0647\u062f\u0641 2D \u0648 3D \u060c \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u060c \u062a\u062e\u0645\u06cc\u0646 \u0627\u0646\u0633\u0627\u0646\u06cc \u0631\u0627 \u0627\u062c\u0631\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0634\u0645\u0627 \u0631\u0627 \u062f\u0631 \u0627\u0646\u062c\u0627\u0645 \u0645\u0628\u0627\u062f\u0644\u0647 \u0628\u06cc\u0627\u0646 \u0635\u0648\u0631\u062a \u060c \u062a\u0648\u0644\u06cc\u062f \u0686\u0647\u0631\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0648 \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0627\u06cc \u0635\u0648\u0631\u062a \u062e\u0648\u062f \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u06a9\u0634\u0641 \u062e\u0648\u062f\u06a9\u0634\u06cc \u0647\u0627 \u0648 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0637\u0631\u0641\u062f\u0627\u0631\u06cc \u0645\u0648\u0644\u062f \u0645\u062f\u0631\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u0645\u06cc \u06a9\u0646\u062f.\u0634\u0645\u0627 \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 CV \u0631\u0627 \u0628\u0627 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc NLP \u060c \u0645\u0627\u0646\u0646\u062f LSTM \u0648 \u062a\u0631\u0627\u0646\u0633\u0641\u0648\u0631\u0645\u0627\u062a\u0648\u0631 \u0648 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc RL \u0645\u0627\u0646\u0646\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 Q \u060c \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc OCR \u060c \u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u062a\u0635\u0648\u06cc\u0631 \u060c \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u0648 \u06cc\u06a9 \u0639\u0627\u0645\u0644 \u062e\u0648\u062f\u0631\u0648 \u062e\u0648\u062f\u0631\u0627\u0646 \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0646\u06cc\u062f.\u0633\u0631\u0627\u0646\u062c\u0627\u0645 \u060c \u0634\u0645\u0627 \u0645\u062f\u0644 NN \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0633\u0645\u062a \u062a\u0648\u0644\u06cc\u062f \u062f\u0631 \u0627\u0628\u0631 AWS \u0633\u0648\u0642 \u0645\u06cc \u062f\u0647\u06cc\u062f.<\/p>\n<p>\u0628\u0627 \u067e\u0627\u06cc\u0627\u0646 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u060c \u0634\u0645\u0627 \u0642\u0627\u062f\u0631 \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f \u062a\u0627 \u0627\u0632 \u0645\u0639\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u0645\u062f\u0631\u0646 NN \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0628\u06cc\u0634 \u0627\u0632 50 \u0645\u0634\u06a9\u0644 CV \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0644 \u06a9\u0646\u06cc\u062f.<br \/>\n\u0622\u0646\u0686\u0647 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a<\/p>\n<p>NN \u0631\u0627 \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u0628\u0627 Numpy \u0648 Pytorch \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f<br \/>\n\u062a\u0634\u062e\u06cc\u0635 \u0648 \u062a\u0642\u0633\u06cc\u0645 \u0686\u0646\u062f \u0647\u062f\u0641 2D \u0648 3D \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f<br \/>\n\u0631\u0642\u0645 \u0647\u0627 \u0648 \u062f\u06cc\u067e\u06cc\u06a9 \u0647\u0627\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0628\u0627 \u062e\u0648\u062f\u0631\u0648\u0647\u0627\u06cc \u0648 GAN \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f<br \/>\n\u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Cyclegan \u060c Pix2Pixgan \u060c StyleGan2 \u0648 Srgan \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f<br \/>\nCV \u0631\u0627 \u0628\u0627 NLP \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 OCR \u060c \u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u062a\u0635\u0648\u06cc\u0631 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0646\u06cc\u062f<br \/>\nCV \u0631\u0627 \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a\u0646 \u0639\u0648\u0627\u0645\u0644 \u0628\u0627\u0632\u06cc \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u06cc\u06a9 \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u0628\u0627\u0632\u06cc \u0645\u06cc \u06a9\u0646\u0646\u062f<br \/>\n\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 FastAPI \u0648 Docker \u06cc\u06a9 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u062f\u0631 \u0633\u0631\u0648\u0631 AWS \u0645\u0633\u062a\u0642\u0631 \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u06cc\u0634 \u0627\u0632 35 \u0645\u0639\u0645\u0627\u0631\u06cc NN \u0648 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0645\u0634\u062a\u0631\u06a9 OPENCV \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u06cc \u0627\u0633\u062a<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u0645\u0628\u062a\u062f\u06cc\u0627\u0646 \u0628\u0647 Pytorch \u0648 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u0633\u0637\u062d \u0645\u062a\u0648\u0633\u0637 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0648 Pytorch \u0647\u0633\u062a\u0646\u062f.\u0627\u06af\u0631 \u0628\u0647 \u062a\u0627\u0632\u06af\u06cc \u0628\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0634\u0631\u0648\u0639 \u0628\u0647 \u06a9\u0627\u0631 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f \u060c \u0645\u0648\u0627\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0631\u0627 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0646\u0648\u062a \u0628\u0648\u06a9 \u062f\u0631 GitHub \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0645\u0641\u06cc\u062f \u0645\u06cc \u06cc\u0627\u0628\u06cc\u062f.\u062f\u0627\u0646\u0634 \u0627\u0633\u0627\u0633\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0632\u0628\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0647\u0645\u0647 \u0686\u06cc\u0632\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u0628\u0627 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u062f.<br \/>\n\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n<p>\u0627\u0635\u0648\u0644 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc<br \/>\n\u0627\u0635\u0648\u0644 \u0627\u0648\u0644\u06cc\u0647<br \/>\n\u0633\u0627\u062e\u062a\u0646 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 Pytorch<br \/>\n\u0645\u0639\u0631\u0641\u06cc \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u062d\u0644\u0642\u0648\u06cc<br \/>\n\u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0634\u06cc\u0621<br \/>\n\u062c\u0646\u0628\u0647 \u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631<br \/>\n\u0645\u0628\u0627\u0646\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621<br \/>\n\u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<br \/>\n\u062a\u0642\u0633\u06cc\u0645 \u062a\u0635\u0648\u06cc\u0631<br \/>\n\u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0634\u06cc\u0621 \u0648 \u0628\u0648\u0645\u06cc \u0633\u0627\u0632\u06cc<br \/>\nAutoEncoders \u0648 \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062a\u0635\u0648\u06cc\u0631<br \/>\n\u062a\u0648\u0644\u06cc\u062f \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 GAN<br \/>\nGAN \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062a\u0635\u0627\u0648\u06cc\u0631<br \/>\n\u0622\u0645\u0648\u0632\u0634 \u0628\u0627 \u062d\u062f\u0627\u0642\u0644 \u0627\u0645\u062a\u06cc\u0627\u0632 \u062f\u0627\u062f\u0647<br \/>\n\u062a\u0631\u06a9\u06cc\u0628 \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0648 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc NLP<br \/>\n\u062a\u0631\u06a9\u06cc\u0628 \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a<br \/>\n\u0627\u0646\u062a\u0642\u0627\u0644 \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0647 \u062a\u0648\u0644\u06cc\u062f<br \/>\n\u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc OpenCV \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062a\u0635\u0648\u06cc\u0631<br \/>\n<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. \r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\t\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0648\u0644\u06cc \u062a\u0631\u062c\u06cc\u062d \u0622\u0646 \u0627\u0633\u062a \u062f\u0631\u062c \u06af\u0631\u062f\u062f \u062a\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u0627\u0648\u0644\u06cc\u0646 \u0631\u0627\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0645\u0627 \u0628\u0627 \u0634\u0645\u0627 \u0628\u0627\u0634\u062f.\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\t\t\t\u0686\u0646\u0627\u0646\u0686\u0647 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0647\u0631 \u062f\u0644\u06cc\u0644\u06cc \u0628\u0627 \u0645\u0634\u06a9\u0644 \u0631\u0648\u0628\u0631\u0648 \u0634\u062f\u06cc\u062f \u0648 \u0645\u0637\u0645\u0626\u0646 \u0627\u0632 \u067e\u0631\u062f\u0627\u062e\u062a \u0645\u0648\u0641\u0642 \u0648\u062c\u0647 \u0647\u0633\u062a\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0632\u06cc\u0631 \u0646\u0627\u0645\u060c \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 \u0628\u0632\u0646\u06cc\u062f \u062a\u0627 \u0644\u06cc\u0646\u06a9 \u0645\u062d\u0635\u0648\u0644 \u0633\u0631\u06cc\u0639\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t<br \/><br \/>\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n<br \/>\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image [&hellip;]<\/p>\n","protected":false},"featured_media":27969,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","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":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[46,671,226,115],"product_tag":[672,673,674],"class_list":{"0":"post-27968","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-46","7":"product_cat-671","8":"product_cat-226","9":"product_cat-115","10":"product_tag-672","11":"product_tag-673","12":"product_tag-674","13":"pmpro-has-access","14":"desktop-align-left","15":"tablet-align-left","16":"mobile-align-left","18":"first","19":"instock","20":"shipping-taxable","21":"purchasable","22":"product-type-variable"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u06a9\u062a\u0627\u0628 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0645\u062f\u0631\u0646 \u0628\u0627 Pytorch: \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u06cc\u0634 \u0627\u0632 50 \u06a9\u0627\u0631\u0628\u0631\u062f \u062a\u0635\u0648\u06cc\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/express24.ir\/d\/product\/\u06a9\u062a\u0627\u0628-\u0686\u0634\u0645-\u0627\u0646\u062f\u0627\u0632-\u0631\u0627\u06cc\u0627\u0646\u0647-\u0627\u06cc-\u0645\u062f\u0631\u0646-\u0628\u0627-pytorch-\u0645\u0641\u0627\u0647\/\" \/>\n<meta property=\"og:locale\" content=\"fa_IR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u06a9\u062a\u0627\u0628 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0645\u062f\u0631\u0646 \u0628\u0627 Pytorch: \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u06cc\u0634 \u0627\u0632 50 \u06a9\u0627\u0631\u0628\u0631\u062f \u062a\u0635\u0648\u06cc\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633\" \/>\n<meta property=\"og:description\" content=\"&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/express24.ir\/d\/product\/\u06a9\u062a\u0627\u0628-\u0686\u0634\u0645-\u0627\u0646\u062f\u0627\u0632-\u0631\u0627\u06cc\u0627\u0646\u0647-\u0627\u06cc-\u0645\u062f\u0631\u0646-\u0628\u0627-pytorch-\u0645\u0641\u0627\u0647\/\" \/>\n<meta property=\"og:site_name\" content=\"\u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-04T11:36:07+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/03\/9781839213472.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"250\" \/>\n\t<meta property=\"og:image:height\" content=\"308\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u0632\u0645\u0627\u0646 \u062a\u0642\u0631\u06cc\u0628\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646\" \/>\n\t<meta name=\"twitter:data1\" content=\"7 \u062f\u0642\u06cc\u0642\u0647\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/\",\"url\":\"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/\",\"name\":\"\u06a9\u062a\u0627\u0628 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0645\u062f\u0631\u0646 \u0628\u0627 Pytorch: \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u06cc\u0634 \u0627\u0632 50 \u06a9\u0627\u0631\u0628\u0631\u062f \u062a\u0635\u0648\u06cc\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633\",\"isPartOf\":{\"@id\":\"https:\/\/express24.ir\/d\/#website\"},\"datePublished\":\"2024-03-04T14:59:16+00:00\",\"dateModified\":\"2024-03-04T11:36:07+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/#breadcrumb\"},\"inLanguage\":\"fa-IR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u062e\u0627\u0646\u0647\",\"item\":\"https:\/\/express24.ir\/d\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u0641\u0631\u0648\u0634\u06af\u0627\u0647\",\"item\":\"https:\/\/express24.ir\/d\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"\u06a9\u062a\u0627\u0628 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0645\u062f\u0631\u0646 \u0628\u0627 Pytorch: \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u06cc\u0634 \u0627\u0632 50 \u06a9\u0627\u0631\u0628\u0631\u062f \u062a\u0635\u0648\u06cc\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/express24.ir\/d\/#website\",\"url\":\"https:\/\/express24.ir\/d\/\",\"name\":\"\u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/express24.ir\/d\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fa-IR\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u06a9\u062a\u0627\u0628 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0645\u062f\u0631\u0646 \u0628\u0627 Pytorch: \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u06cc\u0634 \u0627\u0632 50 \u06a9\u0627\u0631\u0628\u0631\u062f \u062a\u0635\u0648\u06cc\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/express24.ir\/d\/product\/\u06a9\u062a\u0627\u0628-\u0686\u0634\u0645-\u0627\u0646\u062f\u0627\u0632-\u0631\u0627\u06cc\u0627\u0646\u0647-\u0627\u06cc-\u0645\u062f\u0631\u0646-\u0628\u0627-pytorch-\u0645\u0641\u0627\u0647\/","og_locale":"fa_IR","og_type":"article","og_title":"\u06a9\u062a\u0627\u0628 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0645\u062f\u0631\u0646 \u0628\u0627 Pytorch: \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u06cc\u0634 \u0627\u0632 50 \u06a9\u0627\u0631\u0628\u0631\u062f \u062a\u0635\u0648\u06cc\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","og_description":"&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image [&hellip;]","og_url":"https:\/\/express24.ir\/d\/product\/\u06a9\u062a\u0627\u0628-\u0686\u0634\u0645-\u0627\u0646\u062f\u0627\u0632-\u0631\u0627\u06cc\u0627\u0646\u0647-\u0627\u06cc-\u0645\u062f\u0631\u0646-\u0628\u0627-pytorch-\u0645\u0641\u0627\u0647\/","og_site_name":"\u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","article_modified_time":"2024-03-04T11:36:07+00:00","og_image":[{"width":250,"height":308,"url":"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/03\/9781839213472.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"\u0632\u0645\u0627\u0646 \u062a\u0642\u0631\u06cc\u0628\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646":"7 \u062f\u0642\u06cc\u0642\u0647"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/","url":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/","name":"\u06a9\u062a\u0627\u0628 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0645\u062f\u0631\u0646 \u0628\u0627 Pytorch: \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u06cc\u0634 \u0627\u0632 50 \u06a9\u0627\u0631\u0628\u0631\u062f \u062a\u0635\u0648\u06cc\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","isPartOf":{"@id":"https:\/\/express24.ir\/d\/#website"},"datePublished":"2024-03-04T14:59:16+00:00","dateModified":"2024-03-04T11:36:07+00:00","breadcrumb":{"@id":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/#breadcrumb"},"inLanguage":"fa-IR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%86%d8%b4%d9%85-%d8%a7%d9%86%d8%af%d8%a7%d8%b2-%d8%b1%d8%a7%db%8c%d8%a7%d9%86%d9%87-%d8%a7%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%a8%d8%a7-pytorch-%d9%85%d9%81%d8%a7%d9%87\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u062e\u0627\u0646\u0647","item":"https:\/\/express24.ir\/d\/"},{"@type":"ListItem","position":2,"name":"\u0641\u0631\u0648\u0634\u06af\u0627\u0647","item":"https:\/\/express24.ir\/d\/"},{"@type":"ListItem","position":3,"name":"\u06a9\u062a\u0627\u0628 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0645\u062f\u0631\u0646 \u0628\u0627 Pytorch: \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u06cc\u0634 \u0627\u0632 50 \u06a9\u0627\u0631\u0628\u0631\u062f \u062a\u0635\u0648\u06cc\u0631\u06cc \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f"}]},{"@type":"WebSite","@id":"https:\/\/express24.ir\/d\/#website","url":"https:\/\/express24.ir\/d\/","name":"\u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/express24.ir\/d\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"fa-IR"}]}},"_links":{"self":[{"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/product\/27968","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/comments?post=27968"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/media\/27969"}],"wp:attachment":[{"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/media?parent=27968"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/product_cat?post=27968"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/express24.ir\/d\/wp-json\/wp\/v2\/product_tag?post=27968"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}