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.
============================
Do you want to learn from me?
============================
📱 Grow with us:
đź‘ŤIf you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science!
đź’Share your thoughts, experiences, or questions in the comments below. I love hearing from you!
✨ 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