Image Augmentation for Deep Learning With Keras

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. After reading this post, you will know: About the image augmentation API provide by Keras and how to use it with your models. How to perform feature standardization. How to perform ZCA whitening of your images. How to augment data with random rotations, shifts and flips. How to save augmented image data to disk. Let’s get started. Keras Image Augmentation API Like the rest of Keras, the image augmentation API is simple and powerful. Keras provides the…


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