Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
plt.figure(figsize=(6, 6)) for images, _ in train_ds.take(1): for i in range(9): augmented_images = data_augmentation(images) ax = plt.subplot(3, 3, i + 1) plt.imshow(augmented_images[0].numpy().astype("uint8")) plt.axis("off") Image augmentation. (Ex: Flip, Rotation) Configure the dataset for