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About Xavier Initialization PDF
The document discusses the difficulty of training deep feedforward neural networks using standard gradient descent from random initialization. It analyzes how activations and gradients vary across layers and training iterations to better understand this problem. It introduces two image datasets, Shapeset-3x2 and Small-ImageNet, to experimentally evaluate the effects of activation functions, initialization procedures, and online learning on training deep networks.
Detailed Information
| Author: | ['yuyiip'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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