Fighting Overfitting Regularization Techniques in Deep Learning

Описание: This video addresses the main concepts related to overfitting in deep learning.

Chapters:
-------
0:00 Motivating example
6:10 Bias-variance tradeoff
8:41 Variance and overfitting
13:07 What causes overfitting?
20:27 how to avoid overfitting?
20:40 L1, L2 Regularization
33:31 Dropout
37:47 Early stopping
41:47 Data augmentation
-------

Here are some related videos and references.

Bias-variance tradeoff:    • Machine Learning Fundamentals: Bias and Va...  

Regularization:    • Regularization in a Neural Network | Deali...  

Dropout:    • What is Dropout Regularization | How is it...  

Early stopping and data augmentation:    • Regularization with Data Augmentation and ...