batch normalisation

What Is Batch Normalization Pytorch? Batch normalisation is a mechanism that is used to improve efficiency of neural networks. It works by stabilising the distributions of hidden layer inputs and thus improving the training speed. How do I use batch normalization in PyTorch? Stating the imports. Defining the nn. Module , which includes the application