gfdl.weights.glorot_uniform

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

The weight function returning samples drawn from Glorot uniform 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 uniform distribution between [-sqrt(6/(d+h)), sqrt(6/(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_uniform