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Natural Language Processing with TensorFlow
Cód:
491_9781788478311

Por: R$ 362,24ou X de

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Write modern natural language processing applications using deep learning algorithms and TensorFlowKey Features:Focuses on more efficient natural language processing using TensorFlowCovers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approachesProvides choices for how to process and evaluate large unstructured text datasetsLearn to apply the TensorFlow toolbox to specific tasks in the most interesting field in artificial intelligenceBook Description:Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in todays data streams, and apply these tools to specific NLP tasks.Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. Youll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms. Chapters on classical deep learning algorithms, like convolutional neural networks (CNN) and recurrent neural networks (RNN), demonstrate important NLP tasks as sentence classification and language generation. You will learn how to apply high-performance RNN models, like long short-term memory (LSTM) cells, to NLP tasks. You will also explore neural machine translation and implement a neural machine translator.After reading this book, you will gain an understanding of NLP and youll have the skills to apply TensorFlow in deep learning NLP applications, and how to perform specific NLP tasks.What You Will Learn:Core concepts of NLP and various approaches to natural language processingHow to solve NLP tasks by applying TensorFlow functions to create neural networksStrategies to process large a
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