Regularization in Deep Learning | L2 Regularization in ANN | L1 Regularization | Weight Decay in ANN
Channel: CampusX
Date: 2022-05-20

Regularization is a set of techniques that can prevent overfitting in neural networks and thus improve the accuracy of a Deep Learning model when facing completely new data from the problem domain.

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

Code - https://colab.research.google.com/drive/1PObj5KrXLDDmHjoJ1x0bVmxAFbif5s7q?usp=sharing

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✨ Hashtags✨
#DeepLearningExplained #RegularizationTechniques #NeuralNetworksTips

⌚Time Stamps⌚

00:00 - Intro
00:40 - Improving NN Performance
01:53 - Overfitting
04:52 - Why Neural networks overfit?
09:08 - Ways to solve overfitting
12:10 - Regularization
19:40 - Intuition behind Regularization
26:38 - Code Demo
35:35 - Outro