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Improve activation graph visualization in Module 02

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- Clarify node labeling
- Improve spacing for readability
- No API changes
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2026-02-20 03:47:02 +05:30
parent 9942b21fb3
commit 5f7a696077
1 changed files with 8 additions and 4 deletions
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12
tinytorch/src/02_activations/02_activations.py
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@@ -192,12 +192,16 @@ Output: [0.05, 0.27, 0.5, 0.73, 0.95]
### ASCII Visualization
```
Sigmoid Curve:
1.0 ┤ ╭─────
1.0 ┤ ╭───────
│ ╱
│ ╱
0.5 ┤─────●──────────
│ ╱
0.5 ┤ ╱
│ ╱
0.0 ┤─╱─────────
-3 0 3
0.0 ┤╱────────────────
-3 0 3
```
**Why Sigmoid matters**: In binary classification, we need outputs between 0 and 1 to represent probabilities. Sigmoid gives us exactly that!