- Preface
- 1. Introduction
- 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 Simplifications
- 8. Queues, Threads, and Reading Data
- 9. Distributed TensorFlow
- 10. Exporting and Serving Models with TensorFlow
- A. Tips on Model Construction and Using TensorFlow Serving
- Index
Learning TensorFlow
A Guide to Building Deep Learning Systems
Tom Hope, Yehezkel S. Resheff, and Itay Lieder
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.