Data preparation is required when working with neural network and deep learning models. Increasingly data augmentation is also required on more complex object recognition tasks. In this post you will discover how to use data preparation and data augmentation with your image datasets when developing and evaluating deep learning models in Python with Keras. Like the rest of Keras, the image augmentation API is simple and powerful. Keras provides the ImageDataGenerator class that defines the configuration for image data preparation and augmentation.

Data preparation is required when working with neural network and deep learning models. Increasingly data augmentation is also required on more complex object recognition tasks. In this post you will discover how to use data preparation and data augmentation with your image datasets when developing and evaluating deep learning models in Python with Keras. Like the rest of Keras, the image augmentation API is simple and powerful. Keras provides the ImageDataGenerator class that defines the configuration for image data preparation and augmentation.