Why do we use matrices for neural networks?
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- Опубліковано 26 вер 2019
- This video was made as a support for the video series about genetic algorithms.
3blue1brown playlist: • Essence of linear alge...
Videos for Genetic Algorithm with Neural networks: • 1. Neural Network Basi...
Damn crystal clear . I feel no one is appreciating this work
u managed to explain what I was struggling to understand for days within a minute. I cannot thank u enough🙏 god bless u
Revisiting this and very impressive how simple and concise of an explanation for the matrix multiplications you make. Great starting guide for anyone confused about the exact neuron operations
Thank you very much. Deeply appreciated. This movie clip is necessary for starting deep learning. Please keep holding on creating more movie clips
Kindly don't stop making informative vedios
Thank you so much! This really cleared up a lot about matrices!
amazing simple explanation. thank you!
Very good work, the best video on the basics
1:57 Amazing explanation. So the dot product is a log(n) algorithm when parallelized because of the summation of the products.
So how to back-propagate this matrix and calculate the gradients?
Awesome work! What tool do you use for animation?
Hello Sebastian!
I did everything using powerpoint :)
@@LeximusDeepLearning Wow! Most impressive.
Awesome
i was wondering why not use einsteins summation notation
Nice
I'm am hav'zing le croissant
😮😮
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