Demystifying Batch Normalisation: Supercharge Your Neural Networks

This article explores the concept of batch normalisation, a powerful technique used to address the challenges of training deep neural networks. It explains how batch normalisation normalises the inputs within each training batch, resulting in improved stability and reduced sensitivity to the network’s initial weight initialisation. Additionally, it discusses the benefits of batch normalisation, such as faster training, improved generalisation, and enhanced robustness. Lastly, it provides practical tips and guidelines for implementing batch normalisation.