Batch Normalization Explained | Why It Works in Deep Learning

ExplainingAI · Beginner ·📄 Research Papers Explained ·9mo ago
In this video, we dive into Batch Normalization in deep learning, unpacking not just how batch normalization works but also why it works. Batch Normalization has become one of the most influential techniques in training deep neural networks and convolutional neural networks (CNNs). But what is Batch Normalization in neural networks, and what makes it so effective? We start with the motivation, why normalizing inputs to a neural network matters, and how it improves learning by stabilizing and reshaping the optimization landscape. From there, we explore the internal mechanics of the Batch Norma…
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Chapters (11)

Intro
0:28 Standardizing Input Features
3:49 Internal Covariate Shift
5:44 Transforming Layer Inputs using Batch Normalization
8:49 Batch Normalization before or after activation function
11:12 Scale and Shift Parameters in Batch Normalization
13:25 Training and Inference of Batch Normalization Layer
18:42 BatchNorm Results and Benefits
23:57 Paper Overview : Understanding Batch Normalization
26:50 Paper Overview : How Does Batch Normalization Help Optimization ?
33:43 Paper Overview : Batch Norm Biases Residual Blocks Towards Identity
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