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|Abstract:||THE FOLLOWING ARTICLE by Zhang et al. is well-known for having highlighted that widespread success of deep learn- ing in artificial intelligence brings with it a fundamental new theoretical challenge, specifically: Why don’t to- day’s deep nets overfit to training data? This question has come to animate the theory of deep learning.|
|Citation:||Arora, Sanjeev. "Technical perspective: Why don't today's deep nets overfit to their training data?." Communications of the ACM 64, no. 3 (2021): pp. 106. doi:10.1145/3446773|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||Communications of the ACM|
|Version:||Final published version. Article is made available in OAR by the publisher's permission or policy.|
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