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Deep Learning's Diminishing Returns PDF

9 Pages·2022·English
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by ['LeraCecan']| 2022| 9 pages| English

About Deep Learning's Diminishing Returns

Deep learning has achieved great success across many domains but improving performance further will become increasingly difficult and expensive due to diminishing returns. The flexibility of deep learning models comes from having many parameters that can combine input data in complex ways, but training these large models requires massive amounts of data and computing power. While deep learning has outperformed prior techniques for tasks like machine translation, continuing to advance performance even modestly, such as reducing error rates by 5%, will require training systems so large that they would consume as much energy as powering a major city for a month. As a result, the future of deep learning progress faces significant computational challenges and costs.

Detailed Information

Author:['LeraCecan']
Publication Year:2022
Pages:9
Language:English
Format:PDF
Price:FREE
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