Batch Normalization: Improving Speed and Stability in Neural Network Training
Training deep neural networks can be slow and unstable, especially as the number of layers increases. Small changes in weights can cause large shifts in the distribution of activations flowing through the network, making optimisation harder. Batch Normalization (BatchNorm) is a technique designed to address this issue by normalising layer inputs during training. It often
