Hi,

I’m experimenting with **04_mnist_basics** notebook (more precisely with **An End-to-End SGD Example**, where we are looking for quadratic function to approximate points randomly scattered around another quadratic function). And to my surprise they don’t seem to get as close to each other as I expected

No matter how many iterations I do, the left part of the curve stays far away…

I thought that parameters after training will become very close to those used for points initialization (speed = torch.randn(20)*3 + 0.75*(time-9.5)**2 + 1)

Is this an expected result or I’m doing something wrong? (I ran original code from notebook but got same results)

Thanks in advance