Model Selection, Underfitting and Overfitting

http://d2l.ai/chapter_multilayer-perceptrons/underfit-overfit.html

in the net.initialize(), we did not use parameter initializer package which means we would use the default, it is init.Uniform(scale=0.07), on the other hand we asssume the distribution of data is Gaussian, but why we not use init.Normal() to initialize the parameter? correct me if I am wrong, is there any reason or am I missing something important about the distribution of the data. Thank you.

@rezahabibi96

You are right about it.
And

Check here: http://preview.d2l.ai/d2l-en/master/chapter_generative-adversarial-networks/gan.html
We can use init.Normal() to initialize the parameter
@goldpiggy
check my answer…