I am trying to manually derive and update the gradient for a simple nn .
input size is 12*12 ,apply 10*3*3 kernel  ,so i have a conv layer with output features  10*10*10  ,and by flattening it to 1*1000 to create one dimension vector to connect to a fully connected layer with weight dimension 1000*2.  I can get the fc layers weight to be updated , but how do I update weight value from 1000*2 matrix to 10*3*3 kernel matrix