Ai
Created page with "== Introduction == Batch normalization is a deep learning technique that has become a cornerstone in the training of neural networks. Introduced by Sergey Ioffe and Christian Szegedy in 2015, it addresses the problem of internal covariate shift, which refers to the change in the distribution of network activations due to updates in the network parameters during training. By normalizing the inputs of each layer, batch normalization st..."
