Table Of Contents
Table Of Contents

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