Acquaintance with Pytorch: Deep learning when processing a natural language
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Text processing in natural language (Natural Language Processing, NLP) is an extremely important task in the field of artificial intelligence. Successful implementation makes products such as ALEXA from Amazon and Google Translate. This book will help you learn Pytorch - a deep learning library for Python - one of the leading tools for the Date Senti and the development of NLP.
Delip RAO and Brian McMahan will introduce you to the course of affairs with NLP and deep learning algorithms. And they will show how Pytorch allows you to realize applications that use the analysis of the text.
In this book
- computational columns and paradigm of learning with the teacher.
- the basics of the optimized Pytorch library for working with tensors.
- an overview of traditional concepts and methods of NLP.
- proactive neural networks (multilayer perceptron and others).
- Improving RNN using long short-term memory (LSTM) and controlled recurrent blocks
- prediction and models of transformation of sequences.
- Patterns of design of NLP systems used in production
Delip RAO and Brian McMahan will introduce you to the course of affairs with NLP and deep learning algorithms. And they will show how Pytorch allows you to realize applications that use the analysis of the text.
In this book
- computational columns and paradigm of learning with the teacher.
- the basics of the optimized Pytorch library for working with tensors.
- an overview of traditional concepts and methods of NLP.
- proactive neural networks (multilayer perceptron and others).
- Improving RNN using long short-term memory (LSTM) and controlled recurrent blocks
- prediction and models of transformation of sequences.
- Patterns of design of NLP systems used in production
Author:
Author:Rao Delip, McMahan Brian
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
Series:
Series: Bestseller O`Reilly
Age restrictions:
Age restrictions:16+
ISBN:
ISBN:978-5-4461-1241-8
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