Phase 5

Phase 5 — DL foundations

Neural networks, backpropagation, CNNs, PyTorch patterns, and a mini-project—directly reusable for DQN, policies, and actor-critic.

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After Phase 5 you can implement Q-networks and policy networks in PyTorch; Phase 6 adds RL semantics (MDPs, Bellman, tabular methods).

Perceptrons, MLP, backprop, optimizers, regularization, CNNs, and PyTorch `nn.Module` patterns used in RL code.