Book "Deep Learning 2019" by John D. Kelleher
Introduction to the Book “Deep Learning 2019” by John D. Kelleher
The Deep Learning book by John D. Kelleher is part of the MIT Press Essential Knowledge series, which aims to provide in-depth yet accessible insights into key concepts in advanced technologies, with a focus on deep learning. This book not only discusses the basic definitions and descriptions of deep learning but also delves into how algorithms and models within deep learning work, as well as their impact on everyday life.
Deep learning is at the core of many breakthroughs in artificial intelligence (AI) today, and its applications are transforming various sectors, from business to automotive technology. This book is written to help readers without a technical background understand how deep learning functions, how it has developed, its potential, and its limitations.
Kelleher emphasizes simplifying technical topics that may be difficult for the general reader to grasp by explaining fundamental concepts step by step and supplementing these explanations with illustrations and real-world examples. As a result, even though deep learning involves complex mathematics and algorithms, the book demonstrates that, at its core, deep learning is made up of simple calculations applied in vast quantities, allowing these systems to perform extraordinary tasks.
Vision and Mission of the Book
The vision of this book is to provide a clear and easily accessible understanding of deep learning to readers from diverse backgrounds, including those with no prior technical knowledge. It aims to make a complex technology like deep learning more understandable and relevant to a general audience, so they can appreciate its impact on the modern world.
The mission of this book is:
To provide a foundational understanding of deep learning: To offer easily digestible information about what deep learning is, how it works, and why it is important in the progress of artificial intelligence.
To explain how deep learning algorithms and models work: Although this is a technical subject, the book strives to present these explanations in ways that are understandable to non-specialists, using illustrations and practical examples.
To highlight the applications and potential of deep learning: The book explores various real-world applications of deep learning in daily life and industries, as well as offering insights into how the field is likely to evolve in the future.
To bridge the knowledge gap: By reducing technical complexity and emphasizing fundamental understanding, the book aims to be a starting point for anyone interested in exploring the world of artificial intelligence and deep learning.
With these objectives, the book serves as an essential tool for anyone looking to learn about deep learning, whether for professionals looking to apply it in their work or individuals seeking to understand its impact on technology and everyday life.