Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
performance Let’s apply data augmentation to our training dataset, and let’s make sure to use buffered prefetching so we can yield data from disk without having I/O becoming blocking: # Apply `data_augmentation` to the training images. train_ds = train_ds.map( lambda img, label: