Practical Deep Learning 2nd by Ronald Kneusel (25 results)
- Softcover
Seller: HPB-Red, Dallas, U.S.A.HPB-Red
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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.
- Softcover
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Paperback. Condition: new. Paperback. Deep learning made simple.Deep learning made simple.Dip into deep learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel.After a brief review of basic math and coding principles, you'll dive into…hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood. Whether you're a developer looking to add AI to your toolkit or a student seeking practical machine learning skills, this book will teach you-How neural networks work and how they're trainedHow to use classical machine learning modelsHow to develop a deep learning model from scratchHow to evaluate models with industry-standard metricsHow to create your own generative AI modelsEach chapter emphasizes practical skill development and experimentation, building to a case study that incorporates everything you've learned to classify audio recordings. Examples of working code you can easily run and modify are provided, and all code is freely available on GitHub. With Practical Deep Learning, second edition, you'll gain the skills and confidence you need to build real AI systems that solve real problems.New to this edition- Material on computer vision, fine-tuning and transfer learning, localization, self-supervised learning, generative AI for novel image creation, and large language models for in-context learning, semantic search, and retrieval-augmented generation (RAG). "An introduction to machine learning and deep learning for beginners. Covers fundamental concepts before presenting classic machine learning models, neural networks, and modern convolutional neural networks. Includes hands-on Python experiments for each model"--Provided by publisher. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
Seller: Better World Books: West, Reno, U.S.A.Better World Books: West
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Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
- Softcover
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- Softcover
Seller: Better World Books, Mishawaka, U.S.A.Better World Books
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Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
- Softcover
Seller: Lakeside Books, Benton Harbor, 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.
- Softcover
Seller: BargainBookStores, Grand Rapids, U.S.A.BargainBookStores
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Paperback or Softback. Condition: New. Practical Deep Learning, 2nd Edition: A Python-Based Introduction. Book.
- Softcover
Seller: California Books, Miami, U.S.A.California Books
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- Softcover
Seller: Rarewaves USA, OSWEGO, U.S.A.Rarewaves USA
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£ 45.89
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Paperback. Condition: New. If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your… own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance. You'll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they're trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You'll conduct experiments along the way, building to a final case study that incorporates everything you've learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.
- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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- Softcover
Seller: Massive Bookshop, Greenfield, U.S.A.Massive Bookshop
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- Softcover
Seller: Russell Books, Victoria, CanadaRussell Books
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paperback. Condition: New. Special order direct from the distributor.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 48.26
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- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. 2025. 2nd Edition. paperback. . . . . .
- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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paperback. Condition: New.
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Softcover
Seller: Brook Bookstore On Demand, Napoli, ItalyBrook Bookstore On Demand
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- Softcover
Seller: Biblios, frankfurt am main, GermanyBiblios
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- Softcover
Seller: Kennys Bookstore, Olney, U.S.A.Kennys Bookstore
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Condition: New. 2025. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.
- Softcover
Seller: AussieBookSeller, Truganina, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 48.98
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Paperback. Condition: new. Paperback. Deep learning made simple.Deep learning made simple.Dip into deep learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel.After a brief review of basic math and coding principles, you'll dive into…hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood. Whether you're a developer looking to add AI to your toolkit or a student seeking practical machine learning skills, this book will teach you-How neural networks work and how they're trainedHow to use classical machine learning modelsHow to develop a deep learning model from scratchHow to evaluate models with industry-standard metricsHow to create your own generative AI modelsEach chapter emphasizes practical skill development and experimentation, building to a case study that incorporates everything you've learned to classify audio recordings. Examples of working code you can easily run and modify are provided, and all code is freely available on GitHub. With Practical Deep Learning, second edition, you'll gain the skills and confidence you need to build real AI systems that solve real problems.New to this edition- Material on computer vision, fine-tuning and transfer learning, localization, self-supervised learning, generative AI for novel image creation, and large language models for in-context learning, semantic search, and retrieval-augmented generation (RAG). "An introduction to machine learning and deep learning for beginners. Covers fundamental concepts before presenting classic machine learning models, neural networks, and modern convolutional neural networks. Includes hands-on Python experiments for each model"--Provided by publisher. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Softcover
Seller: Rarewaves USA United, OSWEGO, U.S.A.Rarewaves USA United
Contact seller5-star sellerCondition: New
£ 46.07
£ 37.42 shippingShips within U.S.A.Quantity: Over 20 available
Paperback. Condition: New. If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your… own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance. You'll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they're trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You'll conduct experiments along the way, building to a final case study that incorporates everything you've learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.
- Softcover
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 43.16
£ 42.29 shippingShips from Germany to U.S.A.Quantity: 5 available
Condition: New. Ronald T. Kneusel earned a PhD in machine learning from the University of Colorado, Boulder, and has over 20 years of machine learning experience in industry. Kneusel is also the author of numerous books, including Math for Programming (2025)..
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 45.23
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Paperback. Condition: New. If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your… own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance. You'll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they're trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You'll conduct experiments along the way, building to a final case study that incorporates everything you've learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 52.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. Deep learning made simple.Deep learning made simple.Dip into deep learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel.After a brief review of basic math and coding principles, you'll dive into…hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood. Whether you're a developer looking to add AI to your toolkit or a student seeking practical machine learning skills, this book will teach you-How neural networks work and how they're trainedHow to use classical machine learning modelsHow to develop a deep learning model from scratchHow to evaluate models with industry-standard metricsHow to create your own generative AI modelsEach chapter emphasizes practical skill development and experimentation, building to a case study that incorporates everything you've learned to classify audio recordings. Examples of working code you can easily run and modify are provided, and all code is freely available on GitHub. With Practical Deep Learning, second edition, you'll gain the skills and confidence you need to build real AI systems that solve real problems.New to this edition- Material on computer vision, fine-tuning and transfer learning, localization, self-supervised learning, generative AI for novel image creation, and large language models for in-context learning, semantic search, and retrieval-augmented generation (RAG). "An introduction to machine learning and deep learning for beginners. Covers fundamental concepts before presenting classic machine learning models, neural networks, and modern convolutional neural networks. Includes hands-on Python experiments for each model"--Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
