Overview:
0:0:40 - Review of supervised learning with neural networks
0:8:30 - Summary of training in supervised learning
0:10:30 - Difference of deep learning from classic learning approach
0:18:18 - Solving the optimization problem for model training
0:22:07 - Computing gradient
0:23:30 - Backpropagation is just chain rule in calculus
0:36:30 - Going forward and backward during training
0:38:35 - A numerical example
1:02:50 - Backprop for softmax and cross-entropy loss
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https://www.youtube.com/watch?v=RdHLxQZNRz0
Probably the last presentation of this semester... For one interested in alpha-expansion, may jump directly to 0:52:00.
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https://www.youtube.com/watch?v=UkBhe5-hYrg
On March 13, U.S. National Science Foundation Director Sethuraman Panchanathan participated in the White House Office of Science and Technology Policy…
https://beta.nsf.gov/news/nsf-director-participates-white-house-office
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https://www.youtube.com/watch?v=mO5dO5oOrkA
"For over 70 years, the U.S. National Science Foundation has advanced the frontiers of the full spectrum of science and engineering research and…
https://beta.nsf.gov/news/nsf-celebrates-first-anniversary-chips-science-act
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https://www.youtube.com/watch?v=kEuiLyFGDfk