The Most Important Algorithm in Machine Learning
Shortform link:
https://shortform.com/artem
In this video we will talk about backpropagation – an algorithm powering the entire field of machine learning and try to derive it from first principles.
OUTLINE:
00:00 Introduction
01:28 Historical background
02:50 Curve Fitting problem
06:26 Random vs guided adjustments
09:43 Derivatives
14:34 Gradient Descent
16:23 Higher dimensions
21:36 Chain Rule Intuition
27:01 Computational Graph and Autodiff
36:24 Summary
38:16 Shortform
39:20 Outro
USEFUL RESOURCES:
Andrej Karpathy's playlist: https://youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ&si=zBUZW5kufVPLVy9E
Jürgen Schmidhuber's blog on the history of backprop:
https://people.idsia.ch/~juergen/who-invented-backpropagation.html
CREDITS:
Icons by https://www.freepik.com/
Shortform link:
https://shortform.com/artem
In this video we will talk about backpropagation – an algorithm powering the entire field of machine learning and try to derive it from first principles.
OUTLINE:
00:00 Introduction
01:28 Historical background
02:50 Curve Fitting problem
06:26 Random vs guided adjustments
09:43 Derivatives
14:34 Gradient Descent
16:23 Higher dimensions
21:36 Chain Rule Intuition
27:01 Computational Graph and Autodiff
36:24 Summary
38:16 Shortform
39:20 Outro
USEFUL RESOURCES:
Andrej Karpathy’s playlist: https://youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ&si=zBUZW5kufVPLVy9E
Jürgen Schmidhuber’s blog on the history of backprop:
https://people.idsia.ch/~juergen/who-invented-backpropagation.html
CREDITS:
Icons by https://www.freepik.com/
