Batch Normalization in Deep Learning | Batch Learning in Keras
Channel: CampusX
Date: 2022-07-01

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.

Digital Notes for Deep Learning: https://shorturl.at/NGtXg

Code - https://colab.research.google.com/drive/1473vOd0lCPbRW-co_Rm-_TBXgeajkJZ_?usp=sharing

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⌚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