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Learning TensorFlow : a guide to building deep learning systems

Author: Tom Hope, (Data scientist); Yehezkel S Resheff; Itay Lieder
Publisher: Sebastopol, CA : O'Reilly Media, 2017.
Edition/Format:   eBook : Document : English : First editionView all editions and formats
Summary:
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. 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. Authors Tom  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Tom Hope, (Data scientist); Yehezkel S Resheff; Itay Lieder
OCLC Number: 1001514386
Notes: Includes index.
Description: 1 online resource (1 volume) : illustrations
Contents: Introduction --
Go with the flow : up and running with TensorFlow --
Understanding TensorFlow basics --
Convolution neural networks --
Text I : working with text and sequences, and TensorBoard 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.
Responsibility: Tom Hope, Yehezkel S. Resheff, and Itay Lieder.

Abstract:

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  Read more...

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