Table Of Contents
Table Of Contents

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