Batch Normalization in Deep Learning | Batch Learning in Keras

This video explores how Batch Normalization transforms the internal workings of neural networks by normalizing inputs within each mini-batch. By maintaining stable activations throughout the training process, Batch Normalization improves convergence speed and aids in tackling the vanishing/exploding gradient problem.

Code - https://colab.research.google.com/dri...

============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in
============================

📱 Grow with us:
CampusX' LinkedIn:   / campusx-official  
CampusX on Instagram for daily tips:   / campusx.official  
My LinkedIn:   / nitish-singh-03412789  
Discord:   / discord  

👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science!

💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you!

⌚Time Stamps⌚
00:00 - Intro
00:40 - What is Batch Normalization
03:11 - Why use batch Normalization
06:58 - Internal Co-Variate Shift
14:40 - Batch Normalization - The How?
31:41 - Batch Normalization During Test
35:32 - The Advantages
39:47 - Keras Implementation
43:24 - Outro

#DeepLearning #BatchNormalization