Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)
Published October 6, 2021
At a glance
Views
86,272
Likes
2,980
Comments
244
Performance vs. channel
All-time outlier score
Engagement rate
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About
#grokking #openai #deeplearning Grokking is a phenomenon when a neural network suddenly learns a pattern in the dataset and jumps from random chance generalization to perfect generalization very suddenly. This paper demonstrates grokking on small algorithmic datasets where a network has to fill in binary tables. Inter…
- Published
- October 6, 2021
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained) is doing
It has 86.2K views in total. It ranks #9,152,854 among tracked YouTube videos by views.
Key facts about Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)
- Total views
- 86.2K
- Total likes
- 2.98K
- Total comments
- 244
- Published
- October 6, 2021
- Global rank by views
- #9,152,854
Frequently asked questions
How many views does Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained) have?
Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained) has 86,272 views, 2,980 likes and 244 comments, ranking #9,152,854 among tracked YouTube videos by views.
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