Deep Learning - Convolutional Neural Networks with TensorFlow - Large Datasets and Data Generators

The video tutorial covers handling large image data sets in Tensorflow and Keras, focusing on real-world challenges like storage and memory limitations. It explains batch processing strategies and introduces the Image Data Generator for data augmentation. The tutorial also details the necessary folder structure for using Keras functions effectively.

Describe the role of the Image Data Generator in processing image data.

How does the function Flowfromdirectory work in the context of image data?

What folder structure is required for using Keras functions with image data?