Learning TensorFlow : a guide to building deep learning systems /
By: Hope, Tom
Title By: Resheff, Yehezkel S | Lieder, Itay
Material type:
BookPublisher: Sebastopol CA : O`Reilly, c2017.Description: x, 228 p. : ill. ; 24 cm.ISBN: 1491978511; 9781491978511Subject(s): Machine learning | Artificial intelligenceDDC classification: 006.31 HO LE Online resources: Location Map
Summary:
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.
| Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 006.31 HO LE (Browse shelf) | Available | May2019 | T0061245 |
Total holds: 0
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.