gfdl.weights.range

range(d, h, **kwargs)

The weight function setting weights to a normalized np.arange.

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.

Returns:

ndarray or scalar

Set the weights to normalized np.arange over the range [0, d*h).

Other Parameters:

**kwargsdict

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