Now, in this section, we'll move on to pooling. We'll be learning about the one-dimensional pooling operation; the two-dimensional pooling operation, such as you would use on an image; and then finally, we are going to discuss image channels and how they're used in this data.
Okay, from the top, we're going to be importing keras and some additional layers this time—particularly MaxPooling1D, and MaxPooling2D—and we're going to go ahead and import the convolutional 2D layer, which we'll be using a little bit later on. So, if you take a peek at the code, what we're doing is setting up a matrix, and this matrix just has some values. You can think of it as a square matrix of almost all ones, but I've sprinkled some higher values in here; there's 2, 3, 4, and 5. What the max pooling is going to do is extract out the...
