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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| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Sebastopol, CA :
O'Reilly Media,
2017.
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| Edition: | First edition. |
| Subjects: | |
| Online Access: | CONNECT |
Table of 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.
