Data generation with Keras

Keras is an open source library written in Python that contains algorithms based on machine learning and for training neural networks. The purpose of this library is to allow the configuration of neural networks. Keras does not act as a framework but as a simple interface (API) for accessing and programming various machine learning frameworks. Among these frameworks, Keras supports the TensorFlow, Microsoft Cognitive Toolkit, and Theano libraries. This library provides fundamental components on which complex machine learning models can be developed. Keras allows you to define even complex algorithms in a few lines of code, allowing you to define training and evaluation in a single line of code.

In the Generating synthetic data section, we saw that the generation of synthetic data represents a powerful tool to overcome the criticalities related to data scarcity or restrictions due to privacy that some types of data present.

Data augmentation

The lack...