Keras data generators and how to use them

You probably encountered a situation where you try to load a dataset but there is not enough memory in your machine. As the field of machine learning progresses, this problem becomes more and more common. Today this is already one of the challenges in the field of vision where large datasets of images and video files are processed. Here we will focus on how to build data generators for loading and processing images in Keras. In Keras Model class, there are three methods that interest us: fit_generator, evaluate_generator, and predict_generator.