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About Taming The Waves Sine As Activation Function in Deep Neural - Networks PDF
The document summarizes research on using sinusoidal activation functions in deep neural networks. It begins by noting that most networks use monotonic activation functions, while sinusoidal functions are rarely used despite some successful applications. The document then discusses how sinusoidal networks can be difficult to train due to many shallow local minima emerging from the architecture. However, these networks are still able to learn on typical tasks by ignoring the periodic cycles. Finally, the document suggests there are tasks like learning algorithms where sinusoidal networks can learn faster than monotonic functions.
Detailed Information
| Author: | ['Rafael Solano Martinez'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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