Deep Learning by Kelleher John (63 results)

Language: English
Published by The MIT Press, 2019
- Softcover
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Language: English
Published by MIT Press, 2019
- Softcover
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Language: English
Published by MIT Press, 2019
- Softcover
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Language: English
Published by The MIT Press, 2019
- Softcover
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Language: English
Published by MIT Press, 2019
- Softcover
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Language: English
Published by MIT Press, 2019
- Softcover
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Language: English
Published by MIT Press, 2019
- Softcover
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Language: English
Published by MIT Press, 2019
- Softcover
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Language: English
Published by MIT Press, 2019
- Softcover
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Language: English
Published by The MIT Press, 2019
- Softcover
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Language: English
Published by The MIT Press, 2019
- Softcover
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Language: English
Published by The MIT Press, 2019
- Softcover
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Language: English
Published by The MIT Press, 2019
- Softcover
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Language: English
Published by MIT Press, 2019
- Softcover
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Language: English
Published by The MIT Press, 2019
- Softcover
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Language: English
Published by The MIT Press, 2019
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by MIT Press Ltd, US, 2019
- Softcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Paperback. Condition: New. An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, 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-major trends, possible developments, and significant challenges.

Language: English
Published by The MIT Press, 2019
- Softcover
Seller: Lakeside Books, Benton Harbor, MI, U.S.A.Lakeside Books
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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Language: English
Published by Mit Press 9/10/2019, 2019
- Softcover
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores
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Paperback or Softback. Condition: New. Deep Learning. Book.

Language: English
Published by The MIT Press, 2019
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by MIT Press Ltd, Cambridge, Mass., 2019
- Softcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine tr…anslation, 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-major trends, possible developments, and significant challenges.An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, 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-major trends, possible developments, and significant challenges. An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Language: English
Published by The MIT Press, 2019
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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Language: English
Published by The MIT Press, 2019
- Softcover
Seller: Massive Bookshop, Erving, MA, U.S.A.Massive Bookshop
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Language: English
Published by MIT Press, 2019
- Softcover
Seller: Sell Books, Elland, YORKS, United KingdomSell Books
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paperback. Condition: Acceptable. Please see the condition note after this for details, if this is missing please consider Acceptable to mean poor quality that could include major staining, water damage, writing, missing dustjacket, etc etc. Our books are dispatched from a Yorkshire former cotton mill. We list via barcode/ISBN s…o please note that the images are stock images and may not be the exact copy you receive, furthermore the details about edition and year might not be accurate as many publishers reuse the same ISBN for multiple editions and as we simply scan a barcode or enter an ISBN we do not check the validity of the edition data when listing. If you're looking for an exact edition please don't order (at least not without checking with us first, although we don't always have time to check). We aim to dispatch prompty, the service used will depend on order value and book size. We can ship to most countries, see our shipping policies. Payment is via Abe only.

Language: English
Published by MIT Press, 2019
- Softcover
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Language: English
Published by The MIT Press Bookstore, 2019
- Softcover
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Language: English
Published by The MIT Press Bookstore, 2019
- Softcover
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Language: English
Published by The MIT Press Bookstore, 2019
- Softcover
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Language: English
Published by MIT Press Ltd, 2019
- Softcover
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Condition: New. 2019. Illustrated. Paperback. . . . . .

Language: English
Published by Mit Pr, 2019
- Softcover
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