{"id":36374,"date":"2024-07-09T14:45:16","date_gmt":"2024-07-09T14:45:16","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4-%d8%b2%d8%a8%d8%a7%d9%86-%d8%b7%d8%a8%db%8c%d8%b9%db%8c-%d8%a8%d8%a7-%d8%aa%d9%86%d8%b3%d9%88%d8%b1%d9%81%d9%84%d9%88%d8%9b-%da%a9%d8%aa\/"},"modified":"2024-07-09T11:16:29","modified_gmt":"2024-07-09T11:16:29","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4-%d8%b2%d8%a8%d8%a7%d9%86-%d8%b7%d8%a8%db%8c%d8%b9%db%8c-%d8%a8%d8%a7-%d8%aa%d9%86%d8%b3%d9%88%d8%b1%d9%81%d9%84%d9%88%d8%9b-%da%a9%d8%aa","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4-%d8%b2%d8%a8%d8%a7%d9%86-%d8%b7%d8%a8%db%8c%d8%b9%db%8c-%d8%a8%d8%a7-%d8%aa%d9%86%d8%b3%d9%88%d8%b1%d9%81%d9%84%d9%88%d8%9b-%da%a9%d8%aa\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0628\u0627 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648\u061b \u06a9\u062a\u0627\u0628 \u0645\u0639\u062a\u0628\u0631 NLP \u0628\u0631\u0627\u06cc \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u067e\u0631\u0637\u0631\u0641\u062f\u0627\u0631\u062a\u0631\u06cc\u0646 \u0645\u062f\u0644 \u0647\u0627 \u0648 \u0648\u0638\u0627\u06cc\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646"},"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 Natural Language Processing with TensorFlow: The definitive NLP book to implement the most sought-after machine learning models and tasks, 2nd Edition\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/07\/9781838641351.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Natural Language Processing with TensorFlow: The definitive NLP book to implement the most sought-after machine learning models and tasks, 2nd Edition\" \/><\/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>Natural Language Processing with TensorFlow: The definitive NLP book to implement the most sought-after machine learning models and tasks, 2nd Edition<\/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: 2022\u00a0\u00a0|\u00a0\u00a0515 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 17 \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>Thushan Ganegedara, Andrei Lopatenko<\/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>1838641351<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781838641351<\/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;\">From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) models<br \/>\nKey FeaturesLearn to solve common NLP problems effectively with TensorFlow 2.x<br \/>\nImplement end-to-end data pipelines guided by the underlying ML model architecture<br \/>\nUse advanced LSTM techniques for complex data transformations, custom models and metricsBook Description<\/p>\n<p>Learning how to solve natural language processing (NLP) problems is an important skill to master due to the explosive growth of data combined with the demand for machine learning solutions in production. Natural Language Processing with TensorFlow, Second Edition, will teach you how to solve common real-world NLP problems with a variety of deep learning model architectures.<\/p>\n<p>The book starts by getting readers familiar with NLP and the basics of TensorFlow. Then, it gradually teaches you different facets of TensorFlow 2.x. In the following chapters, you then learn how to generate powerful word vectors, classify text, generate new text, and generate image captions, among other exciting use-cases of real-world NLP.<\/p>\n<p>TensorFlow has evolved to be an ecosystem that supports a machine learning workflow through ingesting and transforming data, building models, monitoring, and productionization. We will then read text directly from files and perform the required transformations through a TensorFlow data pipeline. We will also see how to use a versatile visualization tool known as TensorBoard to visualize our models.<\/p>\n<p>By the end of this NLP book, you will be comfortable with using TensorFlow to build deep learning models with many different architectures, and efficiently ingest data using TensorFlow Additionally, you&#8217;ll be able to confidently use TensorFlow throughout your machine learning workflow.<br \/>\nWhat you will learn<\/p>\n<p>Learn core concepts of NLP and techniques with TensorFlow<br \/>\nUse state-of-the-art Transformers and how they are used to solve NLP tasks<br \/>\nPerform sentence classification and text generation using CNNs and RNNs<br \/>\nUtilize advanced models for machine translation and image caption generation<br \/>\nBuild end-to-end data pipelines in TensorFlow<br \/>\nLearn interesting facts and practices related to the task at hand<br \/>\nCreate word representations of large amounts of data for deep learning<\/p>\n<p>Who this book is for<\/p>\n<p>This book is for Python developers and programmers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks.<\/p>\n<p>Fundamental Python skills are assumed, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required.<br \/>\nTable of Contents<\/p>\n<p>Introduction to Natural Language Processing<br \/>\nUnderstanding TensorFlow 2<br \/>\nWord2vec \u2013 Learning Word Embeddings<br \/>\nAdvanced Word Vector Algorithms<br \/>\nSentence Classification with Convolutional Neural Networks<br \/>\nRecurrent Neural Networks<br \/>\nUnderstanding Long Short-Term Memory Networks<br \/>\nApplications of LSTM \u2013 Generating Text<br \/>\nSequence-to-Sequence Learning \u2013 Neural Machine Translation<br \/>\nTransformers<br \/>\nImage Captioning with Transformers<br \/>\nAppendix A: Mathematical Foundations and Advanced TensorFlow<\/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>\u0627\u0632 \u0648\u0638\u0627\u06cc\u0641 \u0645\u0642\u062f\u0645\u0627\u062a\u06cc NLP \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u0645\u062f\u0644 \u0647\u0627\u06cc \u062a\u0631\u0627\u0646\u0633\u0641\u0648\u0631\u0645\u0627\u062a\u0648\u0631 \u060c \u0627\u06cc\u0646 \u0646\u0633\u062e\u0647 \u062c\u062f\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627 \u0645\u06cc \u0622\u0645\u0648\u0632\u062f \u06a9\u0647 \u0627\u0632 API \u0647\u0627\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f TensorFlow \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0631\u0627\u0647 \u062d\u0644 \u0647\u0627\u06cc NLP \u0646\u0647\u0627\u06cc\u06cc \u0628\u0647 \u0627\u0646\u062a\u0647\u0627\u06cc\u06cc \u0647\u062f\u0627\u06cc\u062a \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f ML (\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<br \/>\n\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc<\/p>\n<p>\u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f \u06a9\u0647 \u0645\u0634\u06a9\u0644\u0627\u062a NLP \u0645\u0634\u062a\u0631\u06a9 \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0624\u062b\u0631 \u0628\u0627 Tensorflow 2.x \u062d\u0644 \u06a9\u0646\u06cc\u062f<br \/>\n\u062e\u0637\u0648\u0637 \u0644\u0648\u0644\u0647 \u062f\u0627\u062f\u0647 \u0646\u0647\u0627\u06cc\u06cc \u0631\u0627 \u0628\u0627 \u0647\u062f\u0627\u06cc\u062a \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u062f\u0644 ML \u0632\u06cc\u0631\u0628\u0646\u0627\u06cc\u06cc \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f<br \/>\n\u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 LSTM \u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u060c \u0645\u062f\u0644 \u0647\u0627\u06cc \u0633\u0641\u0627\u0631\u0634\u06cc \u0648 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/p>\n<p>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0686\u06af\u0648\u0646\u06af\u06cc \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc (NLP) \u06cc\u06a9 \u0645\u0647\u0627\u0631\u062a \u0645\u0647\u0645 \u0628\u0631\u0627\u06cc \u062a\u0633\u0644\u0637 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0631\u0634\u062f \u0627\u0646\u0641\u062c\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u062a\u0642\u0627\u0636\u0627 \u0628\u0631\u0627\u06cc \u0631\u0627\u0647 \u062d\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u062a\u0648\u0644\u06cc\u062f \u0627\u0633\u062a.\u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0628\u0627 TensorFlow \u060c \u0686\u0627\u067e \u062f\u0648\u0645 \u060c \u0628\u0647 \u0634\u0645\u0627 \u0645\u06cc \u0622\u0645\u0648\u0632\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644\u0627\u062a NLP \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0646\u0648\u0627\u0639 \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062d\u0644 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0627 \u0622\u0634\u0646\u0627\u06cc\u06cc \u062e\u0648\u0627\u0646\u0646\u062f\u06af\u0627\u0646 \u0628\u0627 NLP \u0648 \u0627\u0635\u0648\u0644 \u0627\u0648\u0644\u06cc\u0647 Tensorflow \u0622\u063a\u0627\u0632 \u0645\u06cc \u0634\u0648\u062f.\u0633\u067e\u0633 \u060c \u0628\u0647 \u062a\u062f\u0631\u06cc\u062c \u062c\u0646\u0628\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 Tensorflow 2.x \u0631\u0627 \u0628\u0647 \u0634\u0645\u0627 \u0645\u06cc \u0622\u0645\u0648\u0632\u062f.\u062f\u0631 \u0641\u0635\u0644 \u0647\u0627\u06cc \u0628\u0639\u062f\u06cc \u060c \u0634\u0645\u0627 \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u0647\u0627\u06cc \u06a9\u0644\u0645\u0647 \u0627\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u062a\u0648\u0644\u06cc\u062f \u06a9\u0646\u06cc\u062f \u060c \u0645\u062a\u0646 \u0631\u0627 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u062f \u060c \u0645\u062a\u0646 \u062c\u062f\u06cc\u062f\u06cc \u062a\u0648\u0644\u06cc\u062f \u06a9\u0646\u06cc\u062f \u0648 \u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0631\u0627 \u062a\u0648\u0644\u06cc\u062f \u06a9\u0646\u06cc\u062f \u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u0633\u0627\u06cc\u0631 \u0645\u0648\u0627\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0647\u06cc\u062c\u0627\u0646 \u0627\u0646\u06af\u06cc\u0632 NLP \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc.<\/p>\n<p>Tensorflow \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 \u062a\u06a9\u0627\u0645\u0644 \u06cc\u0627\u0641\u062a\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u0635\u0631\u0641 \u0648 \u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u060c \u0645\u062f\u0644 \u0647\u0627\u06cc \u0633\u0627\u062e\u062a\u0645\u0627\u0646 \u060c \u0646\u0638\u0627\u0631\u062a \u0648 \u062a\u0648\u0644\u06cc\u062f \u0627\u0632 \u06cc\u06a9 \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f.\u0633\u067e\u0633 \u0645\u062a\u0646 \u0631\u0627 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0627\u0632 \u067e\u0631\u0648\u0646\u062f\u0647 \u0647\u0627 \u0645\u06cc \u062e\u0648\u0627\u0646\u06cc\u0645 \u0648 \u062a\u062d\u0648\u0644\u0627\u062a \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062e\u0637 \u0644\u0648\u0644\u0647 \u062f\u0627\u062f\u0647 TensorFlow \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u06cc\u0645.\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 \u06cc\u06a9 \u0627\u0628\u0632\u0627\u0631 \u062a\u062c\u0633\u0645 \u0647\u0645\u0647 \u06a9\u0627\u0631\u0647 \u0645\u0639\u0631\u0648\u0641 \u0628\u0647 Tensorboard \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0645\u062f\u0644 \u0647\u0627\u06cc \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<\/p>\n<p>\u062f\u0631 \u067e\u0627\u06cc\u0627\u0646 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 NLP \u060c \u0634\u0645\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Tensorflow \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 \u0645\u0639\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627\u062d\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f \u0648 \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0627\u0632 Tensorflow \u062f\u0631 \u0637\u0648\u0644 \u06a9\u0627\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \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>\u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0635\u0644\u06cc NLP \u0648 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627 \u0631\u0627 \u0628\u0627 Tensorflow \u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f<br \/>\n\u0627\u0632 \u062a\u0631\u0627\u0646\u0633\u0641\u0648\u0631\u0645\u0627\u062a\u0648\u0631\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0648 \u0646\u062d\u0648\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646\u0647\u0627 \u0628\u0631\u0627\u06cc \u062d\u0644 \u0648\u0638\u0627\u06cc\u0641 NLP \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<br \/>\n\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062c\u0645\u0644\u0647 \u0648 \u062a\u0648\u0644\u06cc\u062f \u0645\u062a\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 CNN \u0648 RNN \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f<br \/>\n\u0627\u0632 \u0645\u062f\u0644 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0628\u0631\u0627\u06cc \u062a\u0631\u062c\u0645\u0647 \u062f\u0633\u062a\u06af\u0627\u0647 \u0648 \u062a\u0648\u0644\u06cc\u062f \u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<br \/>\n\u062e\u0637\u0648\u0637 \u0644\u0648\u0644\u0647 \u062f\u0627\u062f\u0647 \u0646\u0647\u0627\u06cc\u06cc \u0631\u0627 \u062f\u0631 Tensorflow \u0628\u0633\u0627\u0632\u06cc\u062f<br \/>\n\u062d\u0642\u0627\u06cc\u0642 \u0648 \u0634\u06cc\u0648\u0647 \u0647\u0627\u06cc \u062c\u0627\u0644\u0628 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u06a9\u0627\u0631 \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u0631\u0627 \u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f<br \/>\n\u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0627\u0632\u0646\u0645\u0627\u06cc\u06cc \u0647\u0627\u06cc \u06a9\u0644\u0645\u0647 \u0627\u06cc \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \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 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0648 \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u0627\u0646 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 \u0639\u0644\u0627\u0642\u0647 \u0634\u062f\u06cc\u062f \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a \u060c \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u0646\u062f \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u0646\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 TensorFlow \u0631\u0627 \u0628\u0631\u0627\u06cc \u0633\u0627\u062f\u0647 \u06a9\u0631\u062f\u0646 \u0648\u0638\u0627\u06cc\u0641 NLP \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u0646\u062f.<\/p>\n<p>\u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0628\u0646\u06cc\u0627\u062f\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0641\u0631\u0636 \u0645\u06cc \u0634\u0648\u062f \u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0627\u0646\u0634 \u0627\u0633\u0627\u0633\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u062d\u0633\u0627\u0628 \u06a9\u0627\u0631\u0628\u0631\u06cc \u0633\u0637\u062d \u06a9\u0627\u0631\u0634\u0646\u0627\u0633\u06cc \u0648 \u062c\u0628\u0631 \u062e\u0637\u06cc.\u0647\u06cc\u0686 \u062a\u062c\u0631\u0628\u0647 \u0642\u0628\u0644\u06cc \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0644\u0627\u0632\u0645 \u0646\u06cc\u0633\u062a.<br \/>\n\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n<p>\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc<br \/>\n\u062f\u0631\u06a9 tensorflow 2<br \/>\nWord2Vec &#8211; \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0639\u0628\u06cc\u0647 \u0634\u062f\u0647<br \/>\n\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0648\u06a9\u062a\u0648\u0631 \u06a9\u0644\u0645\u0647 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<br \/>\n\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062c\u0645\u0644\u0647 \u0628\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u062d\u0644\u0642\u0648\u06cc<br \/>\n\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u06a9\u0631\u0631<br \/>\n\u062f\u0631\u06a9 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u062d\u0627\u0641\u0638\u0647 \u06a9\u0648\u062a\u0627\u0647 \u0645\u062f\u062a \u0628\u0644\u0646\u062f \u0645\u062f\u062a<br \/>\n\u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc LSTM &#8211; \u062a\u0648\u0644\u06cc\u062f \u0645\u062a\u0646<br \/>\n\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0648\u0627\u0644\u06cc \u0628\u0647 \u062a\u0648\u0627\u0644\u06cc-\u062a\u0631\u062c\u0645\u0647 \u062f\u0633\u062a\u06af\u0627\u0647 \u0639\u0635\u0628\u06cc<br \/>\n\u0645\u0628\u062f\u0644 \u0647\u0627<br \/>\n\u0639\u0646\u0648\u0627\u0646 \u062a\u0635\u0648\u06cc\u0631 \u0628\u0627 \u062a\u0631\u0627\u0646\u0633\u0641\u0648\u0631\u0645\u0627\u062a\u0648\u0631\u0647\u0627<br \/>\n\u067e\u06cc\u0648\u0633\u062a A: \u0645\u0628\u0627\u0646\u06cc \u0631\u06cc\u0627\u0636\u06cc \u0648 Tensorflow \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<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: Natural Language Processing with TensorFlow: The definitive NLP book to implement the most sought-after machine [&hellip;]<\/p>\n","protected":false},"featured_media":36375,"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 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