Gradient Descent - How machine learning algorithms & Deep Neural Networks learn? Algorithm+Code

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In this video instructor Prateek Bhayia discussed how to use Gradient Descent for optimization any mathematical function. Entire logic of gradient descent update is explained along with code. This technique is used in almost every algorithm starting from regression to deep learning.

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Really amazing explanation. keep adding more videos..

gopeshyadav

Great explanation... but where can i find your other videos on machine learning.

ashishbasantani

Incorrect slope methodology for updating slope

sarabjeetsingh

Thanks for the fantastic explanation for GDA. Is there anyway I can have your code for generating two ggplots titled "Cost at Step" and "Labelled data and model output" on the opening part of this video?

jung-soopark

Very good explanation. How did u arrive 2*(x-5) for y'?. Actual cost function is (x-5)**2. please clarify

gnanapandithan

Great tutorial. well explained.
Can you tell me which theme are you using in your jupyter notebook?

Thanks

arunnair

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