TensorFlow_practice

TensorFlow_practice

A practice of TensorFlow coding with reference mainly from the book, TensorFlow 实战Google深度学习框架 (第2版).

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

You will need a package, TensorFlow 1.2.1, as well as a Python environment, Anaconda.

Installing

Download and install Anaconda. Link is here. https://www.anaconda.com/download/

To install TensorFlow, see more details here. https://github.com/tensorflow/tensorflow

Running the tests

Each section will have an illumination.

Deployment

Each section will have an illumination.

Built With

• TensorFlow - The machine learning framework
• Anaconda - Environment and package management
• Visual Studio Code - Code Editor

Authors

• Banyc - Initial work - Banyc

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE file for details

Acknowledgments

• Hat tip to anyone whose code was used
• The authors of the book mentioned
• Visual Studio Code, the best editor in the world