This week we'll cover the theoretical basis for validation - https://drive.google.com/file/d/19TE0ZncmYP5KLnFPaWzffWFxp6Zxvkjp/view?usp=sharing

GD can be  regarded as a solution of an optimization problem with regularization  https://drive.google.com/file/d/1-5cdIOWzMW7LNWhBTHundK02GLtc2jtj/view?usp=sharing

This week we will discuss the expressive power of neural networks
https://drive.google.com/file/d/1hUmpgFX1YW0yOSl3iXh2L_f7n1eRLrjS/view?usp=sharing.   

Neural networks are built to enable the update of the guardian https://drive.google.com/file/d/1cI2fPLHn82QGzxgAI2hyLb92_9d6IQ_9/view?usp=sharing

What if cov(X Y) = 0?   We'll cover that in this week study group https://drive.google.com/file/d/1iFOtUJOIVkySKaEu2J1OdFCLbi3Kq5A2/view?usp=sharing

Recording - when the slope impacts the distribution: https://www.youtube.com/watch?v=2wHAsJV0BLQ&list=PLC7m9qp0Q1Ye3Fwnooz2k5xh0p5eD1s4k&index=15

When slope of objective functions influence randomizations - an example - https://drive.google.com/file/d/1qxGEwHu3Kn0wp76RrxynjNYLx6DUua9C/view?usp=sharing