Explore the concept of Batch Normalization in deep learning through this comprehensive video lecture. Learn about the importance of normalizing layer outputs throughout the network, understand how batch normalization works using mean and standard deviation of current batch values, and discover when and where to apply this technique. Delve into the evaluation of batch normalization results, its regularization and normalization effects, and why this method is crucial in deep learning. Examine potential side effects and advantages of using batch normalization. Gain insights into this essential technique for improving neural network training and performance.
Overview
Syllabus
Introduction.
Agenda.
What is Batch Normalisation?.
How Does Batch Normalisation works?.
When and Where to use BN.
How to evaluate BN Results?.
Regularization and Normalization in BN.
Why is this method so important?.
Side effects of BN.
Advantages of Using BN.
Taught by
Great Learning
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