gfdl.weights.glorot_normal

glorot_normal(d, h, *, rng, **kwargs)

The weight function returning samples drawn from Glorot normal distribution.

Parameters:

dint

Number of features in a sample or number of neurons in the previous hidden layer.

hint

Number of neurons in the current hidden layer.

rngnp.random.Generator

A NumPy random number generator instance.

Returns:

ndarray or scalar

Draw samples from the Glorot normal distribution with mean 0 and standard deviation sqrt(2/(d+h)).

Other Parameters:

**kwargsdict

Needed for keyword arguments and compatibility with other weight function apis but not relevant for this function.

Notes

https://faroit.com/keras-docs/2.0.0/initializers/#glorot_normal