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Hands-On Artificial Intelligence for IoT

You're reading from   Hands-On Artificial Intelligence for IoT Expert machine learning and deep learning techniques for developing smarter IoT systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788836067
Length 390 pages
Edition 2nd Edition
Languages
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Author (1):
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Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
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Table of Contents (14) Chapters Close

Preface 1. Principles and Foundations of IoT and AI FREE CHAPTER 2. Data Access and Distributed Processing for IoT 3. Machine Learning for IoT 4. Deep Learning for IoT 5. Genetic Algorithms for IoT 6. Reinforcement Learning for IoT 7. Generative Models for IoT 8. Distributed AI for IoT 9. Personal and Home IoT 10. AI for the Industrial IoT 11. AI for Smart Cities IoT 12. Combining It All Together 13. Other Books You May Enjoy

Deep learning 101


The human mind has always intrigued philosophers, scientists, and engineers alike. The desire to imitate and replicate the intelligence of the human brain by man has been written about over many years; Galatea by Pygmalion of Cyprus in Greek mythology, Golem in Jewish folklore, and Maya Sita in Hindu mythology are just a few examples. Robots with Artificial Intelligence (AI) are a favorite of (science) fiction writers since time immemorial.

 

AI, as we know today, was conceived parallel with the idea of computers. The seminal paper, A Logical Calculus Of The Ideas Immanent In Nervous Activity, in the year 1943 by McCulloch and Pitts proposed the first neural network model—the threshold devices that could perform logical operations such as AND, OR, AND-NOT. In his pioneering work, Computing Machinery and Intelligence, published in the year 1950, Alan Turing proposed a Turing test; a test to identify whether a machine has intelligence or not. Rosenblatt, in 1957, laid the base...

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