From def2d9e082da132d81091acf2da57fb9598954e6 Mon Sep 17 00:00:00 2001 From: Ikechukwu Uchendu Date: Fri, 15 Sep 2023 14:05:52 -0400 Subject: [PATCH] Built site for gh-pages --- .nojekyll | 2 +- ...inciples,-Algorithms,-and-Applications.pdf | Bin 43740 -> 51062 bytes about.html | 144 +++- about.pdf | Bin 7036 -> 0 bytes acknowledgements.html | 577 ++++++++++++++++ conventions.md | 40 ++ copyright.html | 324 --------- copyright.pdf | Bin 4540 -> 0 bytes credits.html | 581 +++++++++++++++++ data_engineering.html | 605 +++++++++++++++++ datacollection.pdf | Bin 6346 -> 0 bytes dedication.html | 268 +++++++- dedication.pdf | Bin 4403 -> 0 bytes deployment.html | 146 ++++- deployment.pdf | Bin 4352 -> 0 bytes dl_primer.html | 597 +++++++++++++++++ efficient_ai.html | 581 +++++++++++++++++ embedded_ml.html | 615 ++++++++++++++++++ embedded_sys.html | 594 +++++++++++++++++ ethics.html | 329 ---------- ethics.pdf | Bin 6654 -> 0 bytes feature_engineering.pdf | Bin 5530 -> 0 bytes foreword.html 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+ + +
+ + +
+ + + +
+ +
+
+

Acknowledgements

+
+ + + +
+ + + + +
+ + +
+ +

coming soon.

+ + + +
+ + +
+ + + + + \ No newline at end of file diff --git a/conventions.md b/conventions.md new file mode 100644 index 00000000..9afe1507 --- /dev/null +++ b/conventions.md @@ -0,0 +1,40 @@ +# Conventions Used in this Book + +Please follow these conventions as you contribute to this online book: + +1. **Clear Structure and Organization**: + - **Chapter Outlines**: Begin each chapter with an outline that provides an overview of the topics covered. + - **Sequential Numbering**: Utilize sequential numbering for chapters, sections, and subsections to facilitate easy reference. + +2. **Accessible Language**: + - **Glossary**: Include a glossary that defines technical terms and jargon. + - **Consistent Terminology**: Maintain consistent use of terminology throughout the book to avoid confusion. + +3. **Learning Aids**: + - **Diagrams and Figures**: Employ diagrams, figures, and tables to visually convey complex concepts. + - **Sidebars**: Use sidebars for additional information, anecdotes, or to provide real-world context to the theoretical content. + +4. **Interactive Elements**: + - **Exercises and Projects**: Integrate exercises and projects at the end of each chapter to encourage active learning and practical application of concepts. + - **Case Studies**: Incorporate case studies to provide a deeper understanding of how principles are applied in real-world situations. + +5. **References and Further Reading**: + - **Bibliography**: Include a bibliography at the end of each chapter for readers who wish to delve deeper into specific topics. + - **Citations**: Maintain a consistent style for citations, adhering to recognized academic standards like APA, MLA, or Chicago. + +6. **Supporting Materials**: + - **Supplementary Online Resources**: Provide links to supplementary online resources, such as video lectures, webinars, or interactive modules. + - **Datasets and Code Repositories**: Share datasets and code repositories for hands-on practice, particularly for sections dealing with algorithms and applications. + +7. **Feedback and Community Engagement**: + - **Forums and Discussion Groups**: Establish forums or discussion groups where readers can interact, ask questions, and share knowledge. + - **Open Review Process**: Implement an open review process, inviting feedback from the community to continuously improve the content. + +8. **Inclusivity and Accessibility**: + - **Inclusive Language**: Utilize inclusive language that respects diversity and promotes equality. + - **Accessible Formats**: Ensure the textbook is available in accessible formats, including audio and Braille, to cater to readers with disabilities. + +9. **Index**: + - **Comprehensive Index**: Include a comprehensive index at the end of the book to help readers quickly locate specific information. + +Implementing these conventions can contribute to creating a textbook that is comprehensive, accessible, and conducive to effective learning. diff --git a/copyright.html b/copyright.html deleted file mode 100644 index 0abdb80f..00000000 --- a/copyright.html +++ /dev/null @@ -1,324 +0,0 @@ - - - - - - - - - -copyright - - - - - - - - - - - - - - - - - - - - - - - - - -
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+
+ +
+ +
+ + +
+ + + +
+ +
+
+

Credits

+
+ + + +
+ + + + +
+ + +
+ +

coming soon.

+ + + +
+ + +
+ + + + + \ No newline at end of file diff --git a/data_engineering.html b/data_engineering.html new file mode 100644 index 00000000..3f92c144 --- /dev/null +++ b/data_engineering.html @@ -0,0 +1,605 @@ + + + + + + + + + + +Embedded AI: Principles, Algorithms, and Applications - 8  Data Engineering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ +
+ +
+ + +
+ + + +
+ +
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+

8  Data Engineering

+
+ + + +
+ + + + +
+ + +
+ +
+

8.1 Data Sources

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8.2 Training Data

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8.3 Training Data Splits

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8.4 Data Labeling

+
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+

8.5 Types of Data

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+ +
+ + +
+
+
+
Embedded AI edited by Prof. Vijay Janapa Reddi (Harvard University) and Prof. Song Han (MIT).
+
+   +
+
This book was built with Quarto.
+
+
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4  Deep Learning

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4.1 What are Neural Networks

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4.2 What is Deep Learning Training

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4.3 What is Deep Learning Inference

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Embedded AI edited by Prof. Vijay Janapa Reddi (Harvard University) and Prof. Song Han (MIT).
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This book was built with Quarto.
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12  Efficient AI

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coming soon.

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6  Embedded ML

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6.1 CloudML

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6.2 EdgeML

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6.3 TinyML

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6.3.1 TinyML for IoT Systems

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6.3.2 How does TinyML Work

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6.3.3 Resources are Limited, but so is the Competition

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6.4 Exercises

+ + +
+ +
+ + +
+
+
+
Embedded AI edited by Prof. Vijay Janapa Reddi (Harvard University) and Prof. Song Han (MIT).
+
+   +
+
This book was built with Quarto.
+
+
+ + + + \ No newline at end of file diff --git a/embedded_sys.html b/embedded_sys.html new file mode 100644 index 00000000..0c8ea48b --- /dev/null +++ b/embedded_sys.html @@ -0,0 +1,594 @@ + + + + + + + + + + +Embedded AI: Principles, Algorithms, and Applications - 5  Embedded Systems + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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5  Embedded Systems

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5.1 Sensors

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5.2 Power

+

coming soon.

+ + +
+ +
+ + +
+
+
+
Embedded AI edited by Prof. Vijay Janapa Reddi (Harvard University) and Prof. Song Han (MIT).
+
+   +
+
This book was built with Quarto.
+
+
+ + + + \ No newline at end of file diff --git a/ethics.html b/ethics.html deleted file mode 100644 index b4725100..00000000 --- a/ethics.html +++ /dev/null @@ -1,329 +0,0 @@ - - - - - - - - - -ethics - - - - - - - - - - - - - - - - - - - - - - - - - -
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Responsible AI

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coming soon.

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AI Safety

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coming soon.

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20  Generative AI

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16  Hardware Acceleration

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15  On-Device Learning

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15.1 Federated Learning

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15.2 On-Device Training

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Embedded AI edited by Prof. Vijay Janapa Reddi (Harvard University) and Prof. Song Han (MIT).
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This book was built with Quarto.
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19  Responsible AI

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+ + + + + \ No newline at end of file diff --git a/search.json b/search.json index da93a19f..e5d349e6 100644 --- a/search.json +++ b/search.json @@ -4,7 +4,14 @@ "href": "index.html", "title": "Embedded AI: Principles, Algorithms, and Applications", "section": "", - "text": "Preface\nThis is a Quarto book.\nTo learn more about Quarto books visit https://quarto.org/docs/books.\n\n\nThe Philosophy Behind the Book\n\n\nPrerequisites\n\n\nConventions Used in This Book\n\n\nHow to Contact Us\n\n\nContributors" + "text": "Preface\nIn “Embedded AI: Principles, Algorithms, and Applications”, we will embark on a critical exploration of the rapidly evolving field of artificial intelligence in the context of embedded systems, originally nurtured from the foundational course, tinyML from CS249r.\nThe goal of this book is to bring about a collaborative endeavor with insights and contributions from students, practitioners and the wider community, blossoming into a comprehensive guide that delves into the principles governing embedded AI and its myriad applications.\nAs a living document, this open-source textbook aims to bridge gaps and foster innovation by being globally accessible and continually updated, addressing the pressing need for a centralized resource in this dynamic field. With a rich tapestry of knowledge woven from various expert perspectives, readers can anticipate a guided journey that unveils the intricate dance between cutting-edge algorithms and the principles that ground them, paving the way for the next wave of technological transformation.\n\n\nThe Philosophy Behind the Book\nWe live in a world where technology perpetually reshapes itself, fostering an ecosystem of open collaboration and knowledge sharing stands as the cornerstone of innovation. This philosophy fuels the creation of “Embedded AI: Principles, Algorithms, and Applications.” This is a venture that transcends conventional textbook paradigms to foster a living repository of knowledge. Anchoring its content on principles, algorithms, and applications, the book aims to cultivate a deep-rooted understanding that empowers individuals to navigate the fluid landscape of embedded AI with agility and foresight. By embracing an open approach, we not only democratize learning but also pave avenues for fresh perspectives and iterative enhancements, thus fostering a community where knowledge is not confined but is nurtured to grow, adapt, and illuminate the path of progress in embedded AI technologies globally.\n\n\nPrerequisites\nVenturing into “Embedded AI: Principles, Algorithms, and Applications” does not mandate you to be a maestro in machine learning from the outset. At its core, this resource seeks to nurture learners who bear a fundamental understanding of systems and harbor a curiosity to explore the confluence of disparate, yet interconnected domains: embedded hardware, artificial intelligence, and software. This confluence forms a vibrant nexus where innovations and new knowledge streams emerge, making a basic grounding in system operations a pivotal tool in navigating this dynamic space.\nMoreover, the goal of this book is to delve into the synergies created at the intersection of these fields, fostering a learning environment where the boundaries of traditional disciplines blur to give way to a holistic, integrative approach to modern technological innovations. Your interest in unraveling embedded AI technologies and low-level software mechanics would be guiding you through a rich learning experience.\n\n\nConventions Used in This Book\nPlease follow the conventions listed in Conventions\n\n\nHow to Contact Us\nPlease contact vj@eecs.harvard.edu\n\n\nHow to Contribute\nPlease see instructions at here.\n\n\nContributors\nPlease see Credits." + }, + { + "objectID": "credits.html", + "href": "credits.html", + "title": "Credits", + "section": "", + "text": "coming soon." }, { "objectID": "about.html#whos-this-book-for", @@ -44,281 +51,351 @@ { "objectID": "introduction.html#ai-for-beginners", "href": "introduction.html#ai-for-beginners", - "title": "2  Introduction", - "section": "2.1 AI for Beginners", - "text": "2.1 AI for Beginners" + "title": "3  Introduction", + "section": "3.1 AI for Beginners", + "text": "3.1 AI for Beginners" }, { "objectID": "introduction.html#machine-learning-and-deep-learning", "href": 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zAT^DX$i&f{sG1y(mmFrc4&uVI1F`p2fi)ObKU-dl%^q}PE%-OYtZdRymw5IS58 + + + + + + + + + +Embedded AI: Principles, Algorithms, and Applications - 18  AI Sustainability + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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18  AI Sustainability

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coming soon.

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Taxonomy of ML Algorithms

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Supervised Learning

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Unsupervised Learning

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Reinforcement Learning

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Quiz

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Table of Contents

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Tools

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