Neural Network Projects with Python

Models – a collection of layers

If layers can be thought of as atoms, then models can be thought of as molecules in Keras. A model is simply a collection of layers, and the most commonly used model in Keras is the Sequential model. A Sequential model allows us to linearly stack layers on one another, where a single layer is connected to one other layer only. This allows us to easily design model architectures without worrying about the underlying math. As we will see in later chapters, there is a significant amount of thought needed to ensure that consecutive layer dimensions are compatible with one another, something that Keras takes care for us under the hood!

Once we have defined our model architecture, we need to define our training process, ...