Keras

Keras is an open source neural network library that is written in Python. It focuses on being minimal, modular, and extensible, and was designed in order to enable fast experimentation with DNNs.

This library, whose primary author and maintainer is a Google engineer named François Chollet, was developed as part of the research effort of project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System).

Keras was developed following these design principles:

• Modularity: A model is understood as a sequence or a graph of standalone, fully-configurable modules that can be plugged together with as few restrictions as possible. Neural layers, cost functions, optimizers, initialization schemes, and activation functions are all standalone modules that can be combined to create new models.

• Minimalism: Each module must be short (a few lines of code) and simple. The source code should be transparent upon the dirt reading.

• Extensibility: New modules are simple to add (like new classes...