Pytorch, Torch, Torchvision, Deep Learning, Python.
and reasonable; What is the reason you think? It is because of the using normal distribution with middle standard deviation in using the input and output of the model. And we did it with the initialized weights, and if we update the weight, we will have a smaller error as well. Now let’s try