Introduction to Numerical Optimization Gradient Descent - 1

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Lecture 20
  1. NPTEL-NOC IITM
  2. Lecture 20
  3. Introduction to Numerical Optimization Gradient Descent - 1
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Комментарии
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Actually gradient points in the direction of the steepest ascent. We move on the opposite direction of that direction to minimize the cost function. That's why we put the that negative sign just before the learning rate in the parameter update step.

SoharabHossain
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Great explanation of gradient descent. Watching this video was like the Aha! moment for me. Thank you!

rehanhaque
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wahh kerenn pak jelasinnya, saya termotivasi untuk belajar lebih giat

fransiskusricardo
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Dear Moderator, Can you please post the links of playlists when you post such beautiful videos, it's difficult to search amongst swarms of playlists for a single playlist.

tvsrr
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Is there any playlist for it? It's so amazing

anamikabhowmick
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Numerical Methods of Harris Hawks Optimization (HHO) Algorithm please !

-fatimazahra