Mercurial > pylearn
view sandbox/rbm/parameters.py @ 472:69c800af1370
changed weight initialization for logistic regression
author | James Bergstra <bergstrj@iro.umontreal.ca> |
---|---|
date | Thu, 23 Oct 2008 13:26:42 -0400 |
parents | c2e6a8fcc35e |
children |
line wrap: on
line source
""" Parameters (weights) used by the L{Model}. """ import numpy class Parameters: """ Parameters used by the L{Model}. """ def __init__(self, input_dimension, hidden_dimension, randomly_initialize, random_seed): """ Initialize L{Model} parameters. @param randomly_initialize: If True, then randomly initialize according to the given random_seed. If False, then just use zeroes. """ if randomly_initialize: numpy.random.random_seed(random_seed) self.w = (numpy.random.rand(input_dimension, hidden_dimension)-0.5)/input_dimension self.b = numpy.zeros((1, hidden_dimension)) self.c = numpy.zeros((1, input_dimension)) else: self.w = numpy.zeros((input_dimension, hidden_dimension)) self.b = numpy.zeros((1, hidden_dimension)) self.c = numpy.zeros((1, input_dimension)) def __str__(self): s = "" s += "w: %s\n" % self.w s += "b: %s\n" % self.b s += "c: %s\n" % self.c return s