Representation Learning, Autoencoder, Self Supervised Learning, Machine Learning, Artificial Intelligence.
layers of a CNN, the network might represent simple features like edges and colors. As we move deeper, these elements merge into representations of more complex shapes and patterns. By the time we reach the final layers, the representations have abstracted so much that they can differentiate