Backpropogation through Maxpool and relu
Why is backpropagation through maxpool and relu needed?


Any differentiable function (max pool and relu) through which inputs pass will have a gradient.. The nonlinear functions are still functions, so the chain rule still applies here...and hence we have the Gradients flowing through them..This gradient will have to be backpropagated...