gfdl.weights.normal

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

The weight function returning samples drawn from 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 normal distribution with mean 0 and standard deviation 1.

Other Parameters:

**kwargsdict

Other keyword arguments. Placeholder for exposing distribution parameters later on.