What is Backpropagation? Why does it exist? Where does it appear in Pretraining?
Draw or describe a visual model of Backpropagation. What does it look like conceptually?
Work through a concrete manual example of Backpropagation with real numbers or pseudocode.
Implement Backpropagation from scratch in Python. Keep it minimal โ just enough to see it work.
How is Backpropagation different from related concepts in Pretraining? What are the trade-offs?
Explain Backpropagation in plain language using an analogy. Could a non-expert follow it?
train.py
๐ full plan โ