UDL

UDL Notebook Atlas

544 Pages • 21 Chapters • 68 Python Notebooks by Simon Prince
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Completed: 0/68
Pacing: ~14 hrs left

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Chapter 3 (Shallow Neural Networks): Adjust weights $\omega_i$, biases $\beta_i$, and output slopes $\phi_i$ to see how 1D piecewise linear function folding emerges.

ReLU 1 Slope (φ₁)1.2
Cutoff 1 (β₁)-0.4
ReLU 2 Slope (φβ‚‚)-1.8
Cutoff 2 (ββ‚‚)0.5

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πŸ—ΊοΈ Curriculum Tracks & 68 Exercises

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