What does BatchNorm1d do

What does this function do? It says it is for stabilization. What does that mean?

Hi Rajib_Deb!

Welcome to the community:wave:

BatchNorm1d is a specific implementation of Batch Normalization in PyTorch, designed for 1-dimensional data.
The main idea behind Batch Normalization is to normalize the inputs of each layer in a neural network during training. It helps us to mitigate the problem of internal covariate shift(the change in the distribution of activations within a neural network as training progresses).
Fundamentally it helps the network to learn quickly, generalize better and of course, it stabilizes the training process.


Thanks a lot