ISBN: 9781492034865 - practical deep learning for cloud and mobile: real-world ai & computer vision projects using python, keras & tensorflow (20 Ergebnisse)

Paperback. Zustand: Good. This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: good. Good: The book has been read but is in good condition. It has very minimal damage to the cover, including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. The binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, and no writing in the margins. There are no missing pages. See the seller's listing for full details and a description of any imperfections.…

Paperback. Zustand: Very Good. Cover and edges may have some wear.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Zustand: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: NEW.

Paperback. Zustand: Brand New. 588 pages. 9.00x7.00x1.25 inches. In Stock.

Zustand: New. This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach.&Uumlber den AutorrnrnAnirudh Koul is the Head of AI & Research at Aira, and was previously at .

Taschenbuch. Zustand: 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.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, Core ML, and TensorFlow Lite- Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral- Explore fun projects, from Silicon Valley's Not Hotdog app to 40+ industry case studies- Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning- Use transfer learning to train models in minutes- Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users.…

Zustand: New. pp. 620.

Taschenbuch. Zustand: 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.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, Core ML, and TensorFlow Lite- Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral- Explore fun projects, from Silicon Valley's Not Hotdog app to 40+ industry case studies- Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning- Use transfer learning to train models in minutes- Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of usersLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 350 pp. Englisch.…

Zustand: Gut. Zustand: Gut | Seiten: 350 | Sprache: Englisch | Produktart: Bücher | 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.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, Core ML, and TensorFlow LiteDevelop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google CoralExplore fun projects, from Silicon Valley's Not Hotdog app to 40+ industry case studiesSimulate an autonomous car in a video game environment and build a miniature version with reinforcement learningUse transfer learning to train models in minutesDiscover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users. …

Taschenbuch. Zustand: Neu. Practical Deep Learning for Cloud and Mobile | Real-World AI & Computer Vision Projects Using Python, Keras & TensorFlow | Anirudh Koul (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | O'Reilly Media | EAN 9781492034865 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Softcover. Zustand: gut. 2019. Practical Deep Learning for Cloud and Mobile In englischer Sprache. pages.

Taschenbuch. Zustand: 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.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, Core ML, and TensorFlow Lite- Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral- Explore fun projects, from Silicon Valley's Not Hotdog app to 40+ industry case studies- Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning- Use transfer learning to train models in minutes- Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users 350 pp. Englisch.…