{"id":26908,"date":"2024-02-28T08:30:44","date_gmt":"2024-02-28T09:30:44","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%a9%d8%a7%d8%b1%da%af%d8%a7%d9%87-%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c-%d8%b9%d9%85%db%8c%d9%82-%d9%85%d9%87%d8%a7%d8%b1%d8%aa-%d9%87%d8%a7%db%8c-%d9%84%d8%a7%d8%b2%d9%85\/"},"modified":"2024-02-28T08:30:44","modified_gmt":"2024-02-28T09:30:44","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%da%a9%d8%a7%d8%b1%da%af%d8%a7%d9%87-%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c-%d8%b9%d9%85%db%8c%d9%82-%d9%85%d9%87%d8%a7%d8%b1%d8%aa-%d9%87%d8%a7%db%8c-%d9%84%d8%a7%d8%b2%d9%85","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%da%a9%d8%a7%d8%b1%da%af%d8%a7%d9%87-%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c-%d8%b9%d9%85%db%8c%d9%82-%d9%85%d9%87%d8%a7%d8%b1%d8%aa-%d9%87%d8%a7%db%8c-%d9%84%d8%a7%d8%b2%d9%85\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u06a9\u0627\u0631\u06af\u0627\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0639\u0645\u06cc\u0642: \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u062a\u0648\u0633\u0639\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0646\u0633\u0644 \u0628\u0639\u062f\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 Tensorflow \u0648 Keras \u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f"},"content":{"rendered":"
\n \"\u062f\u0627\u0646\u0644\u0648\u062f<\/p><\/div>\n\n\n
\n

\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n

\n

\n The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras <\/h3>\n<\/td>\n<\/tr>\n<\/table>\n\n\n
\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2020\u00a0\u00a0|\u00a0\u00a0473 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 11 \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<\/table>\n\n\n\n\n\n<\/tr>\n<\/table>\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n
Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text
\nKey Features<\/p>\n

Understand how to implement deep learning with TensorFlow and Keras
\n Learn the fundamentals of computer vision and image recognition
\n Study the architecture of different neural networks<\/p>\n

Book Description<\/p>\n

Are you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout.<\/p>\n

The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You’ll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you’ll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you’ll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis.<\/p>\n

By the end of this deep learning book, you’ll have learned the skills essential for building deep learning models with TensorFlow and Keras.
\nWhat you will learn<\/p>\n

Understand how deep learning, machine learning, and artificial intelligence are different
\n Develop multilayer deep neural networks with TensorFlow
\n Implement deep neural networks for multiclass classification using Keras
\n Train CNN models for image recognition
\n Handle sequence data and use it in conjunction with RNNs
\n Build a GAN to generate high-quality synthesized images<\/p>\n

Who this book is for<\/p>\n

If you are interested in machine learning and want to create and train deep learning models using TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will help you to learn the topics quickly.
\nTable of Contents<\/p>\n

Building Blocks of Deep Learning
\n Neural Networks
\n Image Classification with Convolutional Neural Networks (CNNs)
\n Deep Learning for Text – Embeddings
\n Deep Learning for Sequences
\n LSTMs, GRUs, and Advanced RNNs
\n Generative Adversarial Networks<\/p><\/div>\n

\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

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\n\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc<\/p>\n

\u062f\u0631\u06a9 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0628\u0627 Tensorflow \u0648 Keras \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f
\n \u0627\u0635\u0648\u0644 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0631\u0627\u06cc\u0627\u0646\u0647 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f
\n \u0645\u0639\u0645\u0627\u0631\u06cc \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0645\u0637\u0627\u0644\u0639\u0647 \u06a9\u0646\u06cc\u062f<\/p>\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/p>\n

\u0622\u06cc\u0627 \u0634\u0645\u0627 \u0645\u062c\u0630\u0648\u0628 \u0627\u06cc\u0646 \u0647\u0633\u062a\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0642\u062f\u0631\u062a\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0645\u0627\u0646\u0646\u062f \u0627\u062a\u0648\u0645\u0628\u06cc\u0644 \u0647\u0627\u06cc \u062e\u0648\u062f\u0631\u0627\u0646 \u060c \u062f\u0633\u062a\u06cc\u0627\u0631\u0627\u0646 \u0645\u062c\u0627\u0632\u06cc \u060c \u062f\u0633\u062a\u06af\u0627\u0647 \u0647\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0686\u0647\u0631\u0647 \u0648 \u0686\u062a \u0628\u0627\u0628\u0627\u062a \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a \u067e\u06cc\u0686\u06cc\u062f\u0647\u061f\u0627\u06cc\u0646 \u06a9\u0647 \u0622\u06cc\u0627 \u0634\u0645\u0627 \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0622\u0634\u0646\u0627 \u0647\u0633\u062a\u06cc\u062f \u06cc\u0627 \u062f\u0631 \u0627\u06cc\u0646 \u062f\u0627\u0645\u0646\u0647 \u062a\u0627\u0632\u0647 \u06a9\u0627\u0631 \u0647\u0633\u062a\u06cc\u062f \u060c \u06a9\u0627\u0631\u06af\u0627\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0639\u0645\u06cc\u0642 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0622\u0633\u0627\u0646 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0628\u0627 \u06a9\u0645\u06a9 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627 \u0648 \u062a\u0645\u0631\u06cc\u0646\u0627\u062a \u062c\u0627\u0644\u0628 \u062f\u0631 \u06a9\u0644 \u062f\u0631\u06a9 \u06a9\u0646\u06cc\u062f.<\/p>\n

\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0627 \u0628\u0631\u062c\u0633\u062a\u0647 \u06a9\u0631\u062f\u0646 \u0631\u0627\u0628\u0637\u0647 \u0628\u06cc\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0622\u063a\u0627\u0632 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0645\u0631\u06cc\u0646\u0627\u062a \u062f\u0633\u062a\u06cc \u0628\u0627 \u0633\u0627\u062e\u062a\u0627\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc Tensorflow 2.0 \u0631\u0627\u062d\u062a \u0634\u0648\u06cc\u062f.\u0634\u0645\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u060c \u0633\u0627\u062e\u062a\u0627\u0631 Perceptron \u0648 \u0646\u062d\u0648\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Tensorflow \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0648 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0647\u0627 \u0631\u0627 \u062f\u0631\u06a9 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.\u0633\u067e\u0633 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0628\u0627 \u0627\u0646\u062c\u0627\u0645 \u062a\u0645\u0631\u06cc\u0646\u0627\u062a \u062a\u0634\u062e\u06cc\u0635 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u062d\u0644\u0642\u0648\u06cc (CNN) \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 KERAS \u060c \u0627\u0635\u0648\u0644 \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0631\u0627 \u06a9\u0634\u0641 \u06a9\u0646\u06cc\u062f.\u0628\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 \u0627\u062c\u0631\u0627\u06cc \u0645\u062a\u0646 \u062a\u0639\u0628\u06cc\u0647 \u0634\u062f\u0647 \u0648 \u062a\u0648\u0627\u0644\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0627\u0647 \u062d\u0644 \u0647\u0627\u06cc \u0645\u062d\u0628\u0648\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u060c \u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u062a\u0631 \u06a9\u0646\u06cc\u062f.\u0633\u0631\u0627\u0646\u062c\u0627\u0645 \u060c \u0634\u0645\u0627 \u0628\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u06a9\u0631\u0631 \u062f\u0648 \u0637\u0631\u0641\u0647 (RNN) \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc \u0622\u06cc\u06cc\u062f \u0648 \u0628\u0631\u0627\u06cc \u062a\u0631\u06a9\u06cc\u0628 \u062a\u0635\u0648\u06cc\u0631 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0637\u0631\u0641\u062f\u0627\u0631\u06cc \u0645\u0648\u0644\u062f (GANS) \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n

\u0628\u0627 \u067e\u0627\u06cc\u0627\u0646 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u060c \u0634\u0645\u0627 \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0636\u0631\u0648\u0631\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a\u0646 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627 Tensorflow \u0648 Keras \u0622\u0645\u0648\u062e\u062a\u0647 \u0627\u06cc\u062f.
\n\u0622\u0646\u0686\u0647 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a<\/p>\n

\u062f\u0631\u06a9 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a
\n \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 \u0628\u0627 Tensorflow \u0631\u0627 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u06cc\u062f
\n \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0637\u0628\u0642\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u0631\u0627\u0633 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f
\n \u0645\u062f\u0644\u0647\u0627\u06cc CNN \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u062a\u0635\u0648\u06cc\u0631 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f
\n \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062f\u0646\u0628\u0627\u0644\u0647 \u0631\u0627 \u06a9\u0646\u062a\u0631\u0644 \u06a9\u0646\u06cc\u062f \u0648 \u0627\u0632 \u0622\u0646 \u062f\u0631 \u0631\u0627\u0628\u0637\u0647 \u0628\u0627 RNN \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f
\n \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u062a\u0635\u0627\u0648\u06cc\u0631 \u0633\u0646\u062a\u0632 \u0634\u062f\u0647 \u0628\u0627 \u06a9\u06cc\u0641\u06cc\u062a \u0628\u0627\u0644\u0627 \u06cc\u06a9 GAN \u0628\u0633\u0627\u0632\u06cc\u062f<\/p>\n

\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u06cc \u0627\u0633\u062a<\/p>\n

\u0627\u06af\u0631 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0639\u0644\u0627\u0642\u0647 \u062f\u0627\u0631\u06cc\u062f \u0648 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Tensorflow \u0648 Keras \u0627\u06cc\u062c\u0627\u062f \u0648 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f \u060c \u0627\u06cc\u0646 \u06a9\u0627\u0631\u06af\u0627\u0647 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a.\u062f\u0631\u06a9 \u06a9\u0627\u0645\u0644\u06cc \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc \u0622\u0646 \u060c \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0633\u0627\u0633\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u060c \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0631\u0627 \u0628\u0647 \u0633\u0631\u0639\u062a \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u06cc\u062f.
\n\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n

\u0633\u0627\u062e\u062a \u0628\u0644\u0648\u06a9 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642
\n \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc
\n \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u062d\u0644\u0642\u0648\u06cc (CNN)
\n \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u0645\u062a\u0646 – \u062a\u0639\u0628\u06cc\u0647
\n \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u062a\u0648\u0627\u0644\u06cc
\n LSTMS \u060c GRUS \u0648 RNN \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647
\n \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0645\u062e\u0627\u0644\u0641 \u0645\u0648\u0644\u062f
\n
\r\n

\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\nMirza Rahim Baig, Thomas V. Joseph<\/td>\n<\/tr>\n
\u0646\u0627\u0634\u0631<\/td>\nPackt Publishing<\/td>\n<\/tr>\n
ISBN10:<\/td>\n1839219858<\/td>\n<\/tr>\n
ISBN13:<\/td>\n\u200e9781839219856<\/td>\n<\/tr>\n
\r\n\t\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t\t\r\n\t\t
\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
\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
\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
\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
\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

\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
\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"

\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning […]<\/p>\n","protected":false},"featured_media":26909,"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":[15,46],"product_tag":[],"class_list":{"0":"post-26908","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-15","7":"product_cat-46","8":"pmpro-has-access","9":"desktop-align-left","10":"tablet-align-left","11":"mobile-align-left","13":"first","14":"instock","15":"shipping-taxable","16":"purchasable","17":"product-type-variable"},"yoast_head":"\n\u06a9\u062a\u0627\u0628 \u06a9\u0627\u0631\u06af\u0627\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0639\u0645\u06cc\u0642: \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u062a\u0648\u0633\u0639\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0646\u0633\u0644 \u0628\u0639\u062f\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 Tensorflow \u0648 Keras \u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f - 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