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How Far Can We Scale Up? Deep Learning's Diminishing Returns

How Far Can We Scale Up? Deep Learning's Diminishing Returns

Yannic Kilcher via YouTube Direct link

- Aside: ImageNet V2

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- Aside: ImageNet V2

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How Far Can We Scale Up? Deep Learning's Diminishing Returns

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  1. 1 - Intro & Overview
  2. 2 - Deep Learning at its limits
  3. 3 - The cost of overparameterization
  4. 4 - Extrapolating power usage and CO2 emissions
  5. 5 - We cannot just continue scaling up
  6. 6 - Current solution attempts
  7. 7 - Aside: ImageNet V2
  8. 8 - Are symbolic methods the way out?

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