Neural Networks and Deep Learning: Crash Course AI #3
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Date: 2022-04-04
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Comments and reviews: 9
amanatee27
This is a great series, thank you all for taking the time to make it! For future videos, could Jabril's audio be turned up just a bit more? Sometimes, the end of his sentences get quieter and it's harder to catch all the info. Thank you!
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This is a great series, thank you all for taking the time to make it! For future videos, could Jabril's audio be turned up just a bit more? Sometimes, the end of his sentences get quieter and it's harder to catch all the info. Thank you!
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Steven
I find it strange that Alex Krizhevsky (as 12/20/19) doesn-t have his own page on Wikipedia nor does he appear in the Wikipedia pages for neural networks nor machine learning, yet his work is cited over 84, 000 on google scholar.
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I find it strange that Alex Krizhevsky (as 12/20/19) doesn-t have his own page on Wikipedia nor does he appear in the Wikipedia pages for neural networks nor machine learning, yet his work is cited over 84, 000 on google scholar.
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Lia
why red green and blue and not red yellow and blue (or magenta, yellow and cyan blue? and how do the neurons -distribute tasks-? how do they -decide- which neuron of the hidden layers focuses on what?
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why red green and blue and not red yellow and blue (or magenta, yellow and cyan blue? and how do the neurons -distribute tasks-? how do they -decide- which neuron of the hidden layers focuses on what?
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TonyTiger6521
Contradiction. At 9: 30 he says that AlexNet needed -more than 60 million neurons-, but at 2: 33 we can see the abstract of the paper and it says AlexNet used only 650, 000 neurons.
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Contradiction. At 9: 30 he says that AlexNet needed -more than 60 million neurons-, but at 2: 33 we can see the abstract of the paper and it says AlexNet used only 650, 000 neurons.
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Vishal
Hey! Jabril, want to thank you for such an informative and easy to comprehend lecture. But the only thing is that I didn't get that gist of the math imagery. Could you help me out?
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Hey! Jabril, want to thank you for such an informative and easy to comprehend lecture. But the only thing is that I didn't get that gist of the math imagery. Could you help me out?
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Knack
Just remember, the brain perceives things through a series of guesses. so with billions of neurons doing complex statistical analysis, nobody is as bad at math as they think: )
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Just remember, the brain perceives things through a series of guesses. so with billions of neurons doing complex statistical analysis, nobody is as bad at math as they think: )
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Freddy
Tibetan Monks discovered this -Neural Network- long ago. Hundreds of them chant independently parts of a prayer so it is done in one sec. The problem is that god is deaf.
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Tibetan Monks discovered this -Neural Network- long ago. Hundreds of them chant independently parts of a prayer so it is done in one sec. The problem is that god is deaf.
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ChillsAhoy
Seeing the cassette made me realize that for many younger viewers, this will be a strange type of old technology they may have never seen before.
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Seeing the cassette made me realize that for many younger viewers, this will be a strange type of old technology they may have never seen before.
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GJinn
In the past I had never even cared for AI but when the world began to change humans adopted AI now I should study some things for future life -
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In the past I had never even cared for AI but when the world began to change humans adopted AI now I should study some things for future life -
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