Domain

Deep Learning

Neural networks as representation learners: layers, backpropagation, optimizers, regularization, embeddings, and modern architectures.

1. Neural Network Basics
2. Backpropagation & Optimizers
3. Regularization for Deep Networks
4. Embeddings & Representation Learning
5. CNNs, RNNs & Transformers