Hope, Tom

Learning TensorFlow : a guide to building deep learning systems / Tom Hope, Yehezkel S. Resheff, and Itay Lieder - Sebastopol CA : O`Reilly, c2017. - x, 228 p. : ill. ; 24 cm.

Includes index.

Introduction -- Go with the flow: Up and running with TensorFlow -- Understanding TensorFlow basics -- Convolutional neural networks -- Text I: Working with text and sequences, and TensorFlow visualization -- Text II: Word vectors, Advanced RNN, and embedding visualization -- TensorFlow abstractions and simplifications -- Queues, threads, and reading data -- Distributed TensorFlow -- Exporting and serving models with TensorFlow.

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.

1491978511 9781491978511

2016461699


Machine learning
Artificial intelligence

006.31 HO LE

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