Learning TensorFlow : a guide to building deep learning systems /

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 fo...

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Bibliographic Details
Main Authors: Hope, Tom (Data scientist) (Author), Resheff, Yehezkel S. (Author), Lieder, Itay (Author)
Format: eBook
Published: Sebastopol, CA : O'Reilly Media, 2017.
Edition:First edition.
Online Access:CONNECT