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 # AI Frameworks
 
+![_DALL·E 3 Prompt: ._](./images/cover_ml_frameworks.png)
+
 In this chapter, we explore the landscape of AI frameworks that serve as the foundation for developing machine learning systems. AI frameworks provide the essential tools, libraries, and environments necessary to design, train, and deploy machine learning models. We delve into the evolutionary trajectory of these frameworks, dissect the workings of TensorFlow,  and provide insights into the core components and advanced features that define these frameworks. 
 
 Furthermore, we investigate the specialization of frameworks tailored to specific needs, the emergence of frameworks specifically designed for embedded AI, and the criteria for selecting the most suitable framework for your project. This exploration will be rounded off by a glimpse into the future trends that are expected to shape the landscape of ML frameworks in the coming years.
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