Natural Language Processing with TensorFlow
TensorFlow is the leading framework for deep learning algorithms critical to artificial intelligence, and natural language processing (NLP) makes much of the data used by deep learning applications accessible to them. This book brings the two together and teaches deep learning developers how to work with today’s vast amount of unstructured data.
Offered by
Difficulty Level
Intermediate
Completion Time
15h44m
Language
English
About Book
Who Is This Book For?
This book is for Python developers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. Fundamental Python skills are assumed, as well as some knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required, although some background in NLP or computational linguistics will be helpful.
Natural Language Processing with TensorFlow
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h44m total length
Introduction
How to Get TensorFlow to Work
Producing Word Embeddings with Word2Vec
Advanced Word2Vec
Sentence Classification with CNNs
Language Modelling with RNNs
What is LSTM?
Applying LSTM to Text Generation
Applications of LSTM: Image Caption Generation
Neural Machine Translation
NLP developments and Trends
Appendix I Linear Algebra and Statistics
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