The optimized CNN model consists of 4 convolutional layers followed by 1 fully connected layer: Input (1, 28, 28) ↓ Conv2d(1→8, kernel=3) + ReLU + MaxPool2d(2) ↓ Conv2d(8→16, kernel=3) + ReLU + ...
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