This sections takes a closer look at two fundamental deep learning technologies, namely, convolution and pooling. Throughout this section, we will be using images to understand these concepts. Nevertheless, what we'll be studying can also be applied to other data, such as, audio signals. Let's take a look at the following photo and begin by zooming in to observe the pixels:
Convolutions occur per channel. An input image would generally consist of three channels; red, green, and blue. The next step would be to separate these three colors. The following diagram depicts this:
A convolution is a kernel. In this image, ...
