I hope you doing well.
I know in CNN training data such as (mnist, CIFAR_10 or CIFAR_100 or even ImageNet dataset) there are
feedforward process and then compute the error hence, using backpropagation to minimize that error by updating whole weights in all layers,
however, I need to know how it implements in code for both feedforward and backpropagation progress?
Is there any code to interpret these equations especially equations of updating of all weights?
Thank you for helping..