Keras - bobbae/gcp GitHub Wiki
Introduction
Keras is the high-level API of Tensorflow 2. Keras is an awesome library that wraps the efficient numerical computation libraries Theano and TensorFlow. Keras is a higher-level deep learning framework, which abstracts many details away, making code simpler and more concise than in PyTorch or Tensorflow, at the cost of limited hackability.
https://keras.io/getting_started/
Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation. It abstracts away the computation backend, which can be Tensorflow, Theano or CNTK. It does not support a PyTorch backend. It allows you to define and train neural network models in just a few lines of code.
https://cloud.google.com/ai-platform/docs/getting-started-keras
Video
https://www.youtube.com/watch?v=J6Ok8p463C4
Examples
Tensorflow Estimator
https://www.youtube.com/watch?v=YCXFceVKHTk