Combining Computer Vision with Other Techniques

In the final section of this book, we will learn about merging computer vision techniques with techniques in other fields, such as natural language processing (NLP), reinforcement learning, and foundation models, to develop new ways of solving traditional problems with limited or no training data. Next, we will learn about novel image generation techniques like Stable Diffusion and will implement multiple applications. Finally, we will learn the best practices for moving a model to production.

You are advised to go through the supplemental chapter on training with minimal data points to get familiarity with word embeddings, available in the Extra chapters from first edition folder on GitHub.

This section comprises the following chapters:

• Chapter 14, Combining Computer Vision and Reinforcement Learning
• Chapter 15, Combining Computer Vision and NLP Techniques
• Chapter 16, Foundation Models in Computer...