Shortform link:
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:
Jürgen Schmidhuber’s blog on the history of backprop:
~juergen/
CREDITS:
Icons by
1 view
1576
641
2 weeks ago 01:32:50 1
A Stone in the Water | Thrilling Mystery Movie Full HD | Melissa Fumero | Real Drama
2 weeks ago 00:10:20 2
Women’s Jump Events Qualifications in SLOW MOTION | European Athletics Championships ROMA 2024