Mercurial > pylearn
annotate noise.py @ 495:7560817a07e8
nnet_ops => nnet
| author | Joseph Turian <turian@gmail.com> |
|---|---|
| date | Tue, 28 Oct 2008 12:09:39 -0400 |
| parents | 643dbccde1fc |
| children |
| rev | line source |
|---|---|
| 414 | 1 def binomial(input, rstate, p = 0.75): |
| 2 """ | |
| 3 Op to corrupt an input with binomial noise. | |
| 4 Generate a noise vector of 1's and 0's (1 with probability p). | |
| 5 We multiply this by the input. | |
| 6 | |
| 7 @note: See U{ssh://projects@lgcm.iro.umontreal.ca/repos/denoising_aa} | |
| 8 to see how rstate is used. | |
| 9 """ | |
| 10 noise = rstate.gen_like(('binomial',{'p': p, 'n': 1}), input) | |
| 11 noise.name = 'noise' | |
| 12 return noise * input | |
| 13 |