I want to apply more intense noise to the input data. Is it possible?
The current Noise in the model
def init(self, sigma):
self.sigma = sigma
def forward(self, input):
noise = Variable(input.data.new(input.size()).normal_(std=self.sigma))
return input + noise
Can’t you just use a larger value of
sigma when you instantiate your
As an aside, this code looks rather out of date.
has been deprecated for some time now.
Thank you for your suggestion.
Can you please elaborate on your suggestion, I tried by taking larger Sigma values.
Any other current Gaussian Noise method you would like to suggest?
I assume that you are saying that using larger values for
sigma did not
successfully “apply more intense noise.”
Could you post a short, self-contained, runnable script that shows what
you tried, together with its output, and explain what you were looking for
that you didn’t get?