How to add noise to supervised (binary-classifier)?
I'm not sure why/where you want to apply the noise, but if you want to add some Gaussian noise to a variable, you can do this:

import numpy as np

target_dims = your_target.shape
noise = np.random.rand(target_dims)
noisy_target = your_target + noise


Now use the noisy_target as input to your model.