ML Katas

Implement 1D batch normalization manually (without using nn.BatchNorm1d). Steps:

1. Compute batch mean and variance.
2. Normalize inputs.
3. Scale and shift with learnable $$\gamma ,\beta$$.

Compare with PyTorch's built-in BatchNorm1d on random input.