Regularization in a Neural Network | Dealing with overfitting

6:43
Activation Functions In Neural Networks Explained | Deep Learning Tutorial

20:27
Regularization Part 1: Ridge (L2) Regression

18:40
But what is a neural network? | Deep learning chapter 1

8:19
When Should You Use L1/L2 Regularization

13:48
How To Learn Any Skill So Fast It Feels Illegal

13:51
Batch normalization | What it is and how to implement it

1:09:58
MIT Introduction to Deep Learning | 6.S191

24:52