Deep Learning with Keras

Summary

In this chapter, we discussed how to install Theano, TensorFlow, and Keras on the following:

• Your local machine
• A dockerized infrastructure based on containers
• In the cloud with Google GCP, Amazon AWS, and Microsoft Azure

In addition to that, we looked at a few modules defining Keras APIs and some commonly useful operations such as loading and saving neural networks' architectures and weights, early stopping, history saving, checkpointing, interactions with TensorBoard, and interactions with Quiver.

In the next chapter, we will introduce the concept of convolutional networks a fundamental innovation in deep learning which has been used with success in multiple domains from text, to video, to speech going well beyond the initial ...