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What Is Deep Learning

Layer 3 · Code

What Is Deep Learning

Building and training a small deep network in PyTorch, from raw tensors to a working image classifier.

12 min read110 XP

  1. Define nn.Module

    layers + forward()

  2. Forward pass

    compute predictions

  3. Compute loss

    cross-entropy

  4. Backward pass

    autograd computes gradients

  5. Optimizer step

    update weights

We implement every stage of this loop below.

PyTorch's nn.Module gives you parameter tracking, device movement, and serialization for free. Let's build a small MLP for digit classification and train it end to end.

Go deeper: L4 Foundations