mxnet.initializer.Orthogonal¶
-
class
mxnet.initializer.Orthogonal(scale=1.414, rand_type='uniform')[source]¶ Initialize weight as orthogonal matrix.
This initializer implements Exact solutions to the nonlinear dynamics of learning in deep linear neural networks, available at https://arxiv.org/abs/1312.6120.
- Parameters
scale (float optional) – Scaling factor of weight.
rand_type (string optional) – Use “uniform” or “normal” random number to initialize weight.
-
__init__(scale=1.414, rand_type='uniform')[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__([scale, rand_type])Initialize self.
dumps()Saves the initializer to string
set_verbosity([verbose, print_func])Switch on/off verbose mode