Lesson 14: Deep Learning Foundations to Stable Diffusion
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Jeremy Howard turns last lesson's from-scratch MNIST training loop into a clean, reusable pipeline by rebuilding PyTorch's nn.Module, Sequential, optimizer, Dataset, DataLoader, samplers and collate functions, then sw...