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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms (Paperback or Softback)
Language: English
Published by O'Reilly Media 6/21/2022, 2022
ISBN 10: 149208218X ISBN 13: 9781492082187
Paperback or Softback. Condition: New. Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms 1.36. Book.
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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!
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Condition: New. We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent prose. But deciphering these breakthroughs often takes a Ph.D. education in machine learning and mathematics.This updated second edition describes the intuition behind these innovations without the jargon and complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best in the field.New chapters cover recent advancements in the fields of generative modeling and interpretability. Code examples throughout the book are updated to TensorFlow 2 and PyTorch 1.4.
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Condition: As New. Unread book in perfect condition.
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Fundamentals of Deep Learning (Paperback)
Language: English
Published by O'Reilly Media, Sebastopol, 2022
ISBN 10: 149208218X ISBN 13: 9781492082187
Paperback. Condition: new. Paperback. We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent prose. But deciphering these breakthroughs often takes a Ph.D. education in machine learning and mathematics.This updated second edition describes the intuition behind these innovations without the jargon and complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best in the field.New chapters cover recent advancements in the fields of generative modeling and interpretability. Code examples throughout the book are updated to TensorFlow 2 and PyTorch 1.4. This updated second edition describes the intuition behind deep learning innovations without jargon or complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Fundamentals of Deep Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Fundamentals of Deep Learning
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent prose. But deciphering these breakthroughs often takes a Ph.D. education in machine learning and mathematics.This updated second edition describes the intuition behind these innovations without the jargon and complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best in the field.New chapters cover recent advancements in the fields of generative modeling and interpretability. Code examples throughout the book are updated to TensorFlow 2 and PyTorch 1.4.
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Fundamentals of Deep Learning : Designing Next-generation Machine Intelligence Algorithms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Paperback. Condition: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.
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Condition: NEW.
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Language: English
Published by O'Reilly Media 2022-05-31, 2022
ISBN 10: 149208218X ISBN 13: 9781492082187
Paperback. Condition: New.
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Language: English
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 149208218X ISBN 13: 9781492082187
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Fundamentals of Deep Learning : Designing Next-generation Machine Intelligence Algorithms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Language: English
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 149208218X ISBN 13: 9781492082187
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2022. 2nd Edition. Paperback. . . . . .
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Language: English
Published by O'Reilly Media June 2022, 2022
ISBN 10: 149208218X ISBN 13: 9781492082187
Seller: Old Goat Books, Waterloo, ON, Canada
Association Member: IOBA
Seller rating 4 out of 5 stars
Trade Paperback. Condition: Near Fine. Dust Jacket Condition: Near Fine. Condition: 'Near Fine' Notes: Binding is square and solid. Back cover has a crease across bottom tip. Pages are unmarked, clean and unbent.
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Language: English
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 149208218X ISBN 13: 9781492082187
Condition: New. 2022. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Fundamentals of Deep Learning: Designing Next-generation Machine Intelligence Algorithms
Language: English
Published by Oreilly & Associates Inc, 2021
ISBN 10: 149208218X ISBN 13: 9781492082187
Paperback. Condition: Brand New. 2nd edition. 450 pages. 9.19x7.00x0.80 inches. In Stock.
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Condition: NEW.
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Paperback. Condition: New. We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent prose. But deciphering these breakthroughs often takes a Ph.D. education in machine learning and mathematics.This updated second edition describes the intuition behind these innovations without the jargon and complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best in the field.New chapters cover recent advancements in the fields of generative modeling and interpretability. Code examples throughout the book are updated to TensorFlow 2 and PyTorch 1.4.
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Condition: New. This updated second edition describes the intuition behind deep learning innovations without jargon or complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-imp.
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Fundamentals of Deep Learning (Paperback)
Language: English
Published by O'Reilly Media, Sebastopol, 2022
ISBN 10: 149208218X ISBN 13: 9781492082187
Paperback. Condition: new. Paperback. We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent prose. But deciphering these breakthroughs often takes a Ph.D. education in machine learning and mathematics.This updated second edition describes the intuition behind these innovations without the jargon and complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best in the field.New chapters cover recent advancements in the fields of generative modeling and interpretability. Code examples throughout the book are updated to TensorFlow 2 and PyTorch 1.4. This updated second edition describes the intuition behind deep learning innovations without jargon or complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Paperback. Condition: New. We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent prose. But deciphering these breakthroughs often takes a Ph.D. education in machine learning and mathematics.This updated second edition describes the intuition behind these innovations without the jargon and complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best in the field.New chapters cover recent advancements in the fields of generative modeling and interpretability. Code examples throughout the book are updated to TensorFlow 2 and PyTorch 1.4.
