From neural networks to Transformers: tensors, MLPs, forward propagation, gradient and backpropagation, optimization, initialization, regularization, then CNNs, RNN/LSTM/GRU, attention, embeddings and generative models — through to MLOps deployment and ethics. Five PyTorch labs, a defensible final project, nine modern deep dives.
