summary convnets are the best tool for attacking visual-classification problems convnets work by learning hierarchy of modular patterns and concepts to represent the visual world the representations they learn are easy to inspect--convnets are the opposite of black boxesyou're now capable of training your own convnet from scratch to solve an image-classification problem you understand how to use visual data augmentation to fight overfitting you know how to use pretrained convnet to do feature extraction and fine-tuning you can generate visualizations of the filters learned by your convnetsas well as heatmaps of class activity licensed to