路线图 | Getting started with Tensorflow

TensorFlow

1. TensorFlow Tutorial

2. Learn Tensorflow

TensorFlow based Libraries

1. Keras

   Among all the Python deep learning libraries, Keras is favorite. We love it for 3 reasons:

   First, Keras is a wrapper that allows you to use either the Theano or the TensorFlow backend! That means you can easily switch between the two, depending on your application.

   Second, it has beautiful guiding principles: modularity, minimalism, extensibility, and Python-nativeness. In practice, this makes working in Keras simple and enjoyable.

   Finally, Keras has out-of-the-box implementations of common network structures. It's fast and easy to get a convolutional neural network up and running.

   • Keras Tutorial: The Ultimate Beginner's Guide to Deep Learning in Python

   • Develop Your First Neural Network in Python With Keras Step-By-Step

   • Get Started With Keras For Beginners Tensorflow Backend

2. TFLearn

   Deep learning library featuring a higher-level API for TensorFlow.