Deep Learning(CS7015): Lec 5.1 & Lec 5.2 Recap: Learning Parameters: Guess Work, Gradient Descent

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lec05mod01&mod02
  1. NPTEL-NOC IITM
  2. deep learning
  3. prof.mitesh khapra
  4. iitmadras
  5. nptel deep learning
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Комментарии
Автор

Thank you so much sir, for your clear and intuitive explanation 🙌🙌🙌
I'd really got stuck to understand when the step size would be large and when it'll get small, but after watching this video, it got cleared up 🙌

mradulnamdeo
Автор

sir is there any github repo for the codings discussed here

prakashr
Автор

One thing icant understand till now after watching every video is that we are using derivative(slope) and naming is gradient descent while gradient is perpendicular to slope.Silly doubt but still.

yashgupta