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About A New Link To An Old Model Could Crack The Mystery of Deep Learning - Quanta Magazine
Researchers are exploring connections between modern deep neural networks and older machine learning models in order to better understand the success of deep learning. Some researchers believe similarities between neural networks and probabilistic models from statistics could help explain why neural networks work so well. If validated, this could provide new theoretical insights into deep learning.
Detailed Information
| Author: | ['nukke1'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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