HanChangHun / Oreilly-Learning-TensorFlow-for-Study

Oreilly-Learning-TensorFlow

Content (book chapters):

1. Introduction -- no code
2. Go with the Flow: Up and Running with TensorFlow
3. Understanding TensorFlow Basics
4. Convolutional Neural Networks
5. Text I: Working with Text and Sequences, and TensorBoard Visualization.
6. Text II: Word Vectors, Advanced RNN, and Embedding Visualization.
7. TensorFlow Abstractions and Simplications.
8. Queues, Threads, and Reading Data.
9. Distributed TensorFlow.
10. Exporting and Serving Models with TensorFlow.

Check out the associated repo from our OSCON2017 training.

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