If we now flip the filter/weight vector, with the following term as a typical example
y(0)=x(2)w(0)+x(1)w(1)+x(0)w(2)=x(2)\tilde{w}(2)+x(1)\tilde{w}(1)+x(0)\tilde{w}(0),with \tilde{w}(0)=w(2) , \tilde{w}(1)=w(1) , and \tilde{w}(2)=w(0) , we can then rewrite the above sum as a dot product of x(i:i+(m-1))\tilde{w} for element y(i) , where x(i:i+(m-1)) is simply a patch of \boldsymbol{x} of size m-1 .
The padding P we have introduced for the convolution stage is just another hyperparameter which is introduced as part of the architecture. Similarly, below we will also introduce another hyperparameter called Stride S .