Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
training data while slowing down overfitting. data_augmentation = keras.Sequential( [ layers.RandomFlip("horizontal"), layers.RandomRotation(0.1), ] ) Let’s visualize what the augmented samples look like, by applying data_augmentation repeatedly to the first image in the dataset: