Advantages of using Batch normalization in Neural Networks (Keras)

Batch normalization (batch norm) is a technique for improving the speed, performance, and stability of artificial neural networks. It is used to normalize the input layer by re-centering and re-scaling. Link to the notebook : If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I’ll do my best to answer those. If you enjoy these tutorials & would like to support them then the easi