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About The Computational Limits of Deep Learning: Neil C. Thompson, Kristjan Greenewald, Keeheon Lee, Gabriel F. Manso
The document discusses the computational limits of deep learning. It analyzes research papers to show that the computational requirements for deep learning models have rapidly increased in domains like image classification. If this trend continues, the computational needs will soon become prohibitively expensive. The document suggests that progress will require either dramatically more efficient deep learning methods or moving to other machine learning techniques with lower computational demands.
Detailed Information
| Author: | ['Art'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 46 |
| Language: | English |
| Format: | |
| Price: | FREE |
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