PyTorch, first steps

After this lesson you can: Rebuild the same network in PyTorch and see what the framework does for you.

First: Build a neural network from scratch

Watch

• Introduction to PyTorch - PyTorch, 24 min. Official PyTorch introduction, short enough for first steps while matching the framework orientation of this walkthrough.
• Introduction to PyTorch Tensors - PyTorch, 39 min. Official tensor-focused walkthrough helps engineers connect familiar arrays to PyTorch’s core abstraction before models.

Notes

You have already built a neural network by hand: parameters, forward pass, loss, gradients, and parameter updates. PyTorch does not replace those ideas with magic; it gives you standard objects for them. Tensors hold numbers like arrays, modules group parameters and computation, losses measure wrongness, autograd computes gradients, and optimizers apply updates.

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