Implementing the core deep learning models - MLPs, CNNs, and RNNs
We've already mentioned that we'll be using three advanced deep learning models, they are:
- MLPs: Multilayer perceptrons
- RNNs: Recurrent neural networks
- CNNs: Convolutional neural networks
These are the three networks that we will be using throughout this book. Despite the three networks being separate, you'll find that they are often combined together in order to take advantage of the strength of each model.
In the following sections of this chapter, we'll discuss these building blocks one by one in more detail. In the following sections, MLPs are covered together with other important topics such as loss function, optimizer, and regularizer. Following on afterward, we'll cover both CNNs ...
Get Advanced Deep Learning with Keras now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
