weights = init_params((28*28))?
Both give us the same thing but I heard Jeremy say something about wanting columns? Please bear with me i am rather confused here, both give us
torch.Size([784]) when we do the .shape to them

hi vivek so it doesnt matter if I dont include the 1 right? also , why do we do the multiplication of 1 ? in torch.randn(size)*std where std = 1 , Jeremy said std is the variance but if we are multiplying by 1 what’s the point?

Hi Shay, multiplying by 1.0 is useless but think that since std is a parameter, you can also run the function for, let us say, std=2.0 , and that becomes useful. It is just to create a function more general.

hi , what is the value of std with respect to this case ? for background info i am doing lecture 4 , solving the mnist 3s and 7s dataset ,on the fastai website we are initialising the weights before the matrix multiplication

In that case, we use 1 to initialise the weights. It is just parametrised if you want to reuse the function, it is good software engineering practise but you can delete the std parameter without problem.