Neural Network Projects with Python

Model building

We're finally ready to start building our CNN in Keras. In this section, we'll take two different approaches to model building. First, we'll start by building a relatively simple CNN consisting of a few layers. We'll take a look at the performance of the simple model, and discuss its pros and cons. Next, we'll use a model that was considered state-of-the art just a few years ago—the VGG16 model. We'll see how we can leverage on the pre-trained weights to adapt the VGG16 model for cats versus dogs image classification.