Transitioning to Generative AI
Before we start diving into Generative AI, I’ll provide additional details on some of the important neural network architectures we discussed earlier in this book. For example, in Chapter 9, we briefly introduced some common neural network architectures, such as CNNs, RNNs, long short-term memory (LSTM), and transformers. In this section, we will dive deeper into how some of these notable architectures work, for two reasons:
- The practical exercises accompanying this chapter include building a CNN for a computer vision use case, so it’s important to describe the inner workings of CNNs in more detail
- The rest of the neural network architectures mentioned here can be seen as milestones in the journey toward developing Generative AI technologies
Let’s begin with a deeper dive into CNNs and computer vision.
CNNs and computer vision
As we discussed in Chapter 9, CNNs are often used in computer vision use cases such...
