Deep Learning
Sep 2019 · MIT Press
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DEEP LEARNING FOR BEGINNERS: Get an accessible introduction to the artificial intelligence technology at the heart of the AI revolution—from driverless cars to speech recognition on mobile phones.
Deep learning is an artificial intelligence technology that enables computer vision, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.
Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets. Its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures—including autoencoders, recurrent neural networks, and long short-term networks—as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—including major trends, possible developments, and significant challenges.
Deep learning is an artificial intelligence technology that enables computer vision, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.
Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets. Its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures—including autoencoders, recurrent neural networks, and long short-term networks—as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—including major trends, possible developments, and significant challenges.
DEEP LEARNING FOR BEGINNERS: Get an accessible introduction to the artificial intelligence technology at the heart of the AI revolution—from driverless cars to speech recognition on mobile phones.
Deep learning is an artificial intelligence technology that enables computer vision, machine transl...
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5 reviews
simon foley
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March 8, 2026
I find it hard to put into words just how bad this book is. The author has limited understanding of the subject matter and should not be writing books attempting to teach. The editing is the worst i have seen with formulas and diagrams in completely the wrong page and missing keys and terms. This book is so broken in logical flow it prohibits learning.
Ho Ho Van Tam
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December 29, 2021
Hoc sau la may hien tai, chu con rieng toi thi khong con gi de hoc sau nua ca
Anil Das
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June 12, 2021
AÀA BOSS NETWORK
About the author
John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at Technological University Dublin. He is the coauthor of Data Science and the author of Deep Learning, both in the MIT Press Essential Knowledge series.
John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at Technological University Dublin. He is the coauthor of Data Science and the author of Deep Learning, both in the MIT Press Essential Knowledge series.
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