In this recipe, we will introduce how to best connect various layers, including custom layers. The data we will generate and use will be representative of small random images. It is best to understand this type of operation with a simple example and see how we can use some built-in layers to perform calculations. The first layer we will explore is called a moving window. We will perform a small moving window average across a 2D image and then the second layer will be a custom operation layer.
In this section, we will see that the computational graph can get large and hard to look at. To address this, we will also introduce ways to name operations and create scopes for layers. To start, load numpy and tensorflow, and create a ...
