Understanding MLPs by hand-coding PyTorch in 7 steps
ProfTomYeh · x · 2026-08-25
A 7-step walkthrough to implement a Multi-Layer Perceptron (MLP) by hand in PyTorch.
- Linear Layer Logic: Determining weight matrix dimensions (e.g., 3 in, 4 out requires a 4x3 matrix) and bias settings based on the network architecture.
- Activation Functions: Manually applying ReLU to zero out negatives and Sigmoid to squash outputs into probabilities.
- Pedagogical Insight: Advocating for paper-based exercises to ensure understanding of the math behind the code, preventing mechanical copy-pasting.
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