Tutorial by Examples

This is the most basic example, with the easiest calculations. Let's assume your input and kernel are: When you your kernel you will receive the following output: , which is calculated in the following way: 14 = 4 * 1 + 3 * 0 + 1 * 1 + 2 * 2 + 1 * 1 + 0 * 0 + 1 * 0 + 2 * 0 + 4 * 1 6 = 3 * 1 ...

Padding is just a fancy name of telling: surround your input matrix with some constant. In most of the cases the constant is zero and this is why people call it zero padding. So if you want to use a padding of 1 in our original input (check the first example with padding=0, strides=1), the matrix wi...

Now we will apply a strided convolution to our previously described padded example and calculate the convolution where p = 1, s = 2 Previously when we used strides = 1, our slided window moved by 1 position, with strides = s it moves by s positions (you need to calculate s^2 elements less. But in...