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Le Cun

Proposed by Yan Le Cun in a paper in 1998, this initializer was one of the first published attempts to control the variance of activations between layers through weight initialization. It remains a good default choice for many hidden layer configurations.

Parameters

This initializer does not have any parameters.

Example

use Rubix\ML\NeuralNet\Initializers\LeCun;

$initializer = new LeCun();

References

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1. Y. Le Cun et al. (1998). Efficient Backprop. ↩