This is the documentation for the latest release of the
evolutionary_keras python module.
This documentation includes a quick how-to use guide, provides several examples and collects changelogs of new releases.
Keras is one of the most widely used Machine Learning frameworks available in the market. It is a high-level API written in Python and that can run on mulitple backends. Their goal is to be able to build and test new model as fast as possible.
Keras models are trained through the usage of optimizers, all of which are Gradient Descent based. This module deals with that shortcoming of Keras implementing several Genetic Algorithms on top of Keras while keeping the main philosophy of the project: it must be easy to prototype.