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profvjreddi committed Jun 15, 2024
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Expand Up @@ -62,7 +62,7 @@ Here's a closer look at what each chapter covers. We have structured the book in
In the Fundamentals section, we lay the groundwork for understanding embedded AI. We introduce key concepts, provide an overview of machine learning systems, and dive into the principles and algorithms of deep learning that power AI applications in embedded systems. This section equips you with the essential knowledge needed to grasp the subsequent chapters.

1. **[Introduction:](../introduction/introduction.qmd)** This chapter sets the stage, providing an overview of embedded AI and laying the groundwork for the chapters that follow.
2. **[ML Systems:](../mlsystems/mlsystems.qmd)** We introduce the basics of machine learning systems, the platforms where AI algorithms are widely applied.
2. **[ML Systems:](../ml_systems/ml_systems.qmd)** We introduce the basics of machine learning systems, the platforms where AI algorithms are widely applied.
3. **[Deep Learning Primer:](../dl_primer/dl_primer.qmd)** This chapter offers a comprehensive introduction to the algorithms and principles that underpin AI applications in embedded systems.

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