CS231n: How to calculate gradient for Softmax loss function?

Question

I am watching some videos for Stanford CS231: Convolutional Neural Networks for Visual Recognition but do not quite understand how to calculate analytical gradient for softmax l

Answer 1

I know this is late but here's my answer:

I'm assuming you are familiar with the cs231n Softmax loss function. We know that:

So just as we did with the SVM loss function the gradients are as follows:

Hope that helped.