Deep Learning - Convolutional Neural Networks with TensorFlow - Data Augmentation

The video tutorial discusses data augmentation, a technique used to improve machine learning models by generating new data from existing images. It highlights the challenges of data storage and the benefits of using Python generators to create data on the fly. The tutorial explains how to implement data augmentation in Keras using the ImageDataGenerator class, which allows for various transformations like rotation, shifting, and flipping. The use of generators helps in efficient memory usage and enhances model generalization.

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