Tensorflow"s natural language processing
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The processing of the natural language is used in various applications of machine learning, and Tensorflow is the most important library for implementing deep learning systems in practice. This book introduces the reader to the methods of processing a natural language and contains a practical guide for working with TensorFlow, providing a powerful tool for working with huge volumes of unstructured data and solving unique problems in the processing of a natural language.
The book begins with the study of the general concepts of NLP and the principle of work TensorFlow. Then you will learn how to use the World2VEC technology and its expansion to create representations that turn the sequences of words into numerical vectors, understandable to deep learning algorithms, such as sparkle and recurrent neural networks, and consider the solutions to the classification of sentences and the generation of the text. You will learn to use advanced recurrent models, including cells with a long short -term memory in applications for
The book begins with the study of the general concepts of NLP and the principle of work TensorFlow. Then you will learn how to use the World2VEC technology and its expansion to create representations that turn the sequences of words into numerical vectors, understandable to deep learning algorithms, such as sparkle and recurrent neural networks, and consider the solutions to the classification of sentences and the generation of the text. You will learn to use advanced recurrent models, including cells with a long short -term memory in applications for
Author:
Author:Ganegedara T.
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-97060-756-5
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