batch normalization

Also written: BatchNorm, nn.BatchNorm2d, batch norm

A layer that rescales each channel to mean 0 and standard deviation 1 across a batch, then applies a learned scale and shift, which makes training faster and steadier. It keeps running averages that it uses in `eval()` mode.