view noise.py @ 442:b3315b252824

Finished derivative of softmax gradient.
author Pascal Lamblin <lamblinp@iro.umontreal.ca>
date Fri, 22 Aug 2008 15:53:34 -0400
parents 643dbccde1fc
children
line wrap: on
line source

def binomial(input, rstate, p = 0.75):
    """
    Op to corrupt an input with binomial noise.
    Generate a noise vector of 1's and 0's (1 with probability p).
    We multiply this by the input.

    @note: See U{ssh://projects@lgcm.iro.umontreal.ca/repos/denoising_aa}
    to see how rstate is used.
    """
    noise = rstate.gen_like(('binomial',{'p': p, 'n': 1}), input)
    noise.name = 'noise'
    return noise * input