How Deep Neural Networks Work - Full Course for Beginners
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Date: 2022-03-14
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Comments and reviews: 6
75hilmar
there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus
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there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus there is no good semester of calculus
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MichaelDude12345
And here I thought doing back-propagation with CNNs was doing something more related to statistics than calculus, boy was I mistaken... It's just multivariate calc applied in an incredibly intelligent way! That's so neat. Your explanation was so good too, it made the elegance of the mathematical solution shine through. Thanks for the great video.
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And here I thought doing back-propagation with CNNs was doing something more related to statistics than calculus, boy was I mistaken... It's just multivariate calc applied in an incredibly intelligent way! That's so neat. Your explanation was so good too, it made the elegance of the mathematical solution shine through. Thanks for the great video.
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Mateusz
First 30s wrong example but good video in general. Yes, you can simply detect what pixels are dark, what are lighter, there is function for that. Also 4 pixels is bad example because you could create like 8 if statements define tolerance (same tolerance as in Photoshop which is distance between colors) and it would outperform every model.
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First 30s wrong example but good video in general. Yes, you can simply detect what pixels are dark, what are lighter, there is function for that. Also 4 pixels is bad example because you could create like 8 if statements define tolerance (same tolerance as in Photoshop which is distance between colors) and it would outperform every model.
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serious
41:48 imagine it in n-dimension
It can do amazing stuff in a matter of second.
Can you explain neural net in time series please
These lessons touch my heart and for the first time i can imagine abit what is going on in that black box
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41:48 imagine it in n-dimension
It can do amazing stuff in a matter of second.
Can you explain neural net in time series please
These lessons touch my heart and for the first time i can imagine abit what is going on in that black box
reply
Rail
Can anyone explain please - why in -7:40, the last(3rd) layer and the last neuron(4th) is horizontal in the bottom, shouldn-t it be horizontal on the top because of black synapses? Thank you!
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Can anyone explain please - why in -7:40, the last(3rd) layer and the last neuron(4th) is horizontal in the bottom, shouldn-t it be horizontal on the top because of black synapses? Thank you!
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Damien
1:27:43 you were literally just telling the AI off for that. Why is Doug not allowed to see Doug but Brandon saw Brandon?
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1:27:43 you were literally just telling the AI off for that. Why is Doug not allowed to see Doug but Brandon saw Brandon?
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