M11.7 CONNECT THE MECHANISM
Connect data, gradients, and saved model state
The same five-line loop trains a four-neuron toy and a chatbot. Run it until a network discovers XOR on its own, then learn which checkpoint to keep.
LESSON OVERVIEW15 min lesson
Lesson overview
The same five-line loop trains a four-neuron toy and a chatbot. Run it until a network discovers XOR on its own, then learn which checkpoint to keep.
What you’ll explore
- Trace forward loss, backward gradient, and an optimizer update while separating training batches from validation and checkpoint selection.
GO TO THE SOURCE
Original explanations, connected to the research.
Dive into Deep Learning — computational graphs and backpropagationPyTorch — optimizing model parameters (the training loop)Biderman et al. — Pythia, a suite for analyzing language-model trainingSuggest a correction
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