L15.4 Backpropagation Through Time Overview
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- เผยแพร่เมื่อ 26 ต.ค. 2024
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This video is part of my Introduction of Deep Learning course.
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would be great to add a video explaining the vanishing/exploding gradient problem in detail! thanks so much!
Thank you so much. This video helped me a lot to understand what RNN really works after reading so many resources and not understanding this concept before watching this video!
I am really glad this helped :)
amazing lecture...making difficult concepts soo easy. Thank you so much for your great effort
Thank you very much. Just stumbled across this video of yours while I was learning with your book :D What a coincidence. I really appriciate your book python machine learning btw... it has been a great teacher and companion for the past 3 years!
Small world, and thanks a lot for the kind words! It's always motivating to hear that these resources are useful :)
@@SebastianRaschka They really are. Thank you! :)
The best lectures that are to the point and in detail. Thank you for the video.
you know, at some point i thought that it is possible to make rnn with just one neuron, and that blew up all of my brain's neurons. But the moment i realized it would actually not be quite useful, killed all of them just as soon.
Great video! Thanks :)
Can you cite the formula in the end? around 09:15?
BPTT starts at 5:32. Not very detailed though.
This is an intro to Deep Learning, so I would say that this is plenty deep for a general understanding. Plus he shows the formulas in one of the best and simplest ways I have seen until now.