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Practical Deep Learning Cloud by Koul Anirudh (39 results)
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Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI and Computer-Vision Projects Using Python, Keras and TensorFlow
Published by O'Reilly Media, Incorporated, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Language: English
Condition: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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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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Condition: New.
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US$ 65.46
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Practical Deep Learning for Cloud, Mobile and Edge
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 65.31
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: New.
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Paperback. Condition: New. Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where do I begin? This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite and go from zero to a production-quality system quickly. Develop deep learning applications for the desktop, cloud, smartphones, browser, and Raspberry Pi Learn by building examples such as Silicon Valley's "Not Hotdog," image search engines, and your own mini-autonomous car Use transfer learning to train models in minutes Optimize your apps to run efficiently on different hardware Discover strategies to scale up from a single user to millions Sharpen practical skills for data collection, model interoperability, and model debugging using visualizations Uncover the potential for bias and explore the ethical underpinnings for AI-driven technology.
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Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI and Computer-Vision Projects Using Python, Keras, and Tensorflow
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 73.59
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Practical Deep Learning for Cloud and Mobile (Paperback)
Published by O'Reilly Media, Sebastopol, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Language: English
Paperback. Condition: new. Paperback. Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where do I begin? This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite and go from zero to a production-quality system quickly. Develop deep learning applications for the desktop, cloud, smartphones, browser, and Raspberry Pi Learn by building examples such as Silicon Valley's ""Not Hotdog,"" image search engines, and your own mini-autonomous car Use transfer learning to train models in minutes Optimize your apps to run efficiently on different hardware Discover strategies to scale up from a single user to millions Sharpen practical skills for data collection, model interoperability, and model debugging using visualizations Uncover the potential for bias and explore the ethical underpinnings for AI-driven technology" This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & Tensorflow (Paperback or Softback)
Published by O'Reilly Media 11/5/2019, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Language: English
Paperback or Softback. Condition: New. Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & Tensorflow. Book.
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US$ 72.56
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Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI and Computer-Vision Projects Using Python, Keras, and Tensorflow
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 76.49
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Practical Deep Learning for Cloud and Mobile: Real-World AI & Computer Vision Projects Using Python, Keras & TensorFlow
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US$ 87.95
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Add to basketCondition: New. pp. 620.
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Practical Deep Learning for Cloud and Mobile
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 103.20
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Add to basketPaperback. Condition: New. Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where do I begin? This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite and go from zero to a production-quality system quickly. Develop deep learning applications for the desktop, cloud, smartphones, browser, and Raspberry Pi Learn by building examples such as Silicon Valley's "Not Hotdog," image search engines, and your own mini-autonomous car Use transfer learning to train models in minutes Optimize your apps to run efficiently on different hardware Discover strategies to scale up from a single user to millions Sharpen practical skills for data collection, model interoperability, and model debugging using visualizations Uncover the potential for bias and explore the ethical underpinnings for AI-driven technology.
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Practical Deep Learning for Cloud and Mobile: Real-World AI & Computer Vision Projects Using Python, Keras & TensorFlow
Published by O'Reilly Media, Inc, USA, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 972.
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Condition: new.
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Condition: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.
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Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI and Computer-Vision Projects Using Python, Keras, and Tensorflow
Published by Oreilly & Associates Inc, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Language: English
US$ 105.76
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Add to basketPaperback. Condition: Brand New. 588 pages. 9.00x7.00x1.25 inches. In Stock.
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US$ 112.41
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Practical Deep Learning for Cloud, Mobile, and Edge
Published by O'reilly Media Nov 2019, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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Add to basketTaschenbuch. Condition: Neu. Neuware -Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. 583 pp. Englisch.
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Practical Deep Learning for Cloud, Mobile, and Edge
Published by O'reilly Media Nov 2019, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Language: English
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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Add to basketTaschenbuch. Condition: Neu. Neuware -Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. 583 pp. Englisch.
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Practical Deep Learning for Cloud, Mobile, and Edge
Published by O'reilly Media Nov 2019, 2019
ISBN 10: 149203486X ISBN 13: 9781492034865
Language: English
US$ 100.63
Convert currencyUS$ 30.18 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Neuware -Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.
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US$ 80.77
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Add to basketPaperback. Condition: New. Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where do I begin? This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach. Relying on years of industry experience transforming deep-learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, CoreML, and TensorFlow Lite and go from zero to a production-quality system quickly. Develop deep learning applications for the desktop, cloud, smartphones, browser, and Raspberry Pi Learn by building examples such as Silicon Valley's "Not Hotdog," image search engines, and your own mini-autonomous car Use transfer learning to train models in minutes Optimize your apps to run efficiently on different hardware Discover strategies to scale up from a single user to millions Sharpen practical skills for data collection, model interoperability, and model debugging using visualizations Uncover the potential for bias and explore the ethical underpinnings for AI-driven technology.
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Condition: New. pp. 620.
