Hands on Computer Vision Tensorflow by Benjamin Planche (23 results)
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
Seller: medimops, Berlin, Germanymedimops
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Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
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paperback. Condition: New. Paperback. Cover and spine in good condition. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
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Language: English
Published by Packt Publishing 5/30/2019, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
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Paperback or Softback. Condition: New. Hands-On Computer Vision with Tensorflow 2. Book.
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
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Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
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Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
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Language: English
Published by Packt Publishing Limited, GB, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applicatio…ns such as object detection and video analysisLearn how to run your models on mobile devices and web pages and improve their performanceBook DescriptionComputer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks.Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0.What you will learnCreate your own neural networks from scratchClassify images with modern architectures including Inception and ResNetDetect and segment objects in images with YOLO, Mask R-CNN, and U-NetTackle problems faced when developing self-driving cars and facial emotion recognition systemsBoost your application's performance with transfer learning, GANs, and domain adaptationUse recurrent neural networks (RNNs) for video analysisOptimize and deploy your networks on mobile devices and in the browserWho this book is forIf you're new to deep learning and have some background in Python programming and image processing, like reading/writing image files and editing pixels, this book is for you. Even if you're an expert curious about the new TensorFlow 2 features, you'll find this book useful.While some theoretical concepts require knowledge of algebra and calculus, the book covers concrete examples focused on practical applications such as visual recognition for self-driving cars and smartphone apps.
Language: English
Published by Packt Publishing, Limited, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pp. 372.
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by Packt Publishing 2019-05-30, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Paperback. Condition: New.
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
Seller: LiLi - La Liberté des Livres, CANEJAN, FranceLiLi - La Liberté des Livres
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Condition: as new. edition 2019. vendeur professionnel; envoi soigne en 24/48h.
Language: English
Published by Packt Publishing Limited, GB, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: New. A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applicatio…ns such as object detection and video analysisLearn how to run your models on mobile devices and web pages and improve their performanceBook DescriptionComputer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks.Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0.What you will learnCreate your own neural networks from scratchClassify images with modern architectures including Inception and ResNetDetect and segment objects in images with YOLO, Mask R-CNN, and U-NetTackle problems faced when developing self-driving cars and facial emotion recognition systemsBoost your application's performance with transfer learning, GANs, and domain adaptationUse recurrent neural networks (RNNs) for video analysisOptimize and deploy your networks on mobile devices and in the browserWho this book is forIf you're new to deep learning and have some background in Python programming and image processing, like reading/writing image files and editing pixels, this book is for you. Even if you're an expert curious about the new TensorFlow 2 features, you'll find this book useful.While some theoretical concepts require knowledge of algebra and calculus, the book covers concrete examples focused on practical applications such as visual recognition for self-driving cars and smartphone apps.
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
- Print on Demand
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
- Print on Demand
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Packt Publishing, Limited, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
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Condition: New. Print on Demand pp. 372.
Language: English
Published by Packt Publishing, Limited, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
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Condition: New. PRINT ON DEMAND pp. 372.
Language: English
Published by Packt Publishing Limited, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
- Print on Demand
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Computer vision is achieving a new frontier of capabilities in fields like health, automobile or robotics. This book explores TensorFlow 2, Google s open-source AI framework, and teaches how to leverage deep neural ne…tworks for visual tasks. It will help yo.
Language: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey Features:Discover how to build, train, and serve your own deep neural networks with TensorF…low 2 and KerasApply modern solutions to a wide range of applications such as object detection and video analysisLearn how to run your models on mobile devices and web pages and improve their performanceBook Description:Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks.Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0.What you will learn:Create your own neural networks from scratchClassify images with modern architectures including Inception and ResNetDetect and segment objects in images with YOLO, Mask R-CNN, and U-NetTackle problems faced when developing self-driving cars and facial emotion recognition systemsBoost your application's performance with transfer learning, GANs, and domain adaptationUse recurrent neural networks (RNNs) for video analysisOptimize and deploy your networks on mobile devices and in the browserWho this book is for:If you're new to deep learning and have some background in Python programming and image processing, like reading/writing image files and editing pixels, this book is for you. Even if you're an expert curious about the new TensorFlow 2 features, you'll find this book useful.While some theoretical concepts require knowledge of algebra and calculus, the book covers concrete examples focused on practical applications such as visual recognition for self-driving cars and smartphone apps.
More imagesLanguage: English
Published by Packt Publishing, 2019
Series: Lecture Notes in Computer Science, Book 101 of 300. Book 101 of 300 - Lecture Notes in Computer Science
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. Hands-On Computer Vision with TensorFlow 2 | Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras | Benjamin Planche (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Packt Publishing | EAN 9781788830645 | Verantwortliche Person für die EU: L…ibri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
