Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 34,58
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 32,47
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Ajouter au panierEtat : New.
Edité par Packt Publishing Limited, GB, 2018
ISBN 10 : 1789130336 ISBN 13 : 9781789130331
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 39,94
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : New. Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges.Key FeaturesLearn the fundamentals of Convolutional Neural NetworksHarness Python and Tensorflow to train CNNsBuild scalable deep learning models that can process millions of itemsBook DescriptionConvolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time!We start with an overview of popular machine learning and deep learning models, and then get you set up with a TensorFlow development environment. This environment is the basis for implementing and training deep learning models in later chapters. Then, you will use Convolutional Neural Networks to work on problems such as image classification, object detection, and semantic segmentation.After that, you will use transfer learning to see how these models can solve other deep learning problems. You will also get a taste of implementing generative models such as autoencoders and generative adversarial networks.Later on, you will see useful tips on machine learning best practices and troubleshooting. Finally, you will learn how to apply your models on large datasets of millions of images. What you will learnTrain machine learning models with TensorFlowCreate systems that can evolve and scale during their life cycleUse CNNs in image recognition and classificationUse TensorFlow for building deep learning models Train popular deep learning modelsFine-tune a neural network to improve the quality of results with transfer learningBuild TensorFlow models that can scale to large datasets and systemsWho this book is forThis book is for Software Engineers, Data Scientists, or Machine Learning practitioners who want to use CNNs for solving real-world problems. Knowledge of basic machine learning concepts, linear algebra and Python will help.
Edité par Packt Publishing Limited, GB, 2018
ISBN 10 : 1789130336 ISBN 13 : 9781789130331
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 44,97
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : New. Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges.Key FeaturesLearn the fundamentals of Convolutional Neural NetworksHarness Python and Tensorflow to train CNNsBuild scalable deep learning models that can process millions of itemsBook DescriptionConvolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time!We start with an overview of popular machine learning and deep learning models, and then get you set up with a TensorFlow development environment. This environment is the basis for implementing and training deep learning models in later chapters. Then, you will use Convolutional Neural Networks to work on problems such as image classification, object detection, and semantic segmentation.After that, you will use transfer learning to see how these models can solve other deep learning problems. You will also get a taste of implementing generative models such as autoencoders and generative adversarial networks.Later on, you will see useful tips on machine learning best practices and troubleshooting. Finally, you will learn how to apply your models on large datasets of millions of images. What you will learnTrain machine learning models with TensorFlowCreate systems that can evolve and scale during their life cycleUse CNNs in image recognition and classificationUse TensorFlow for building deep learning models Train popular deep learning modelsFine-tune a neural network to improve the quality of results with transfer learningBuild TensorFlow models that can scale to large datasets and systemsWho this book is forThis book is for Software Engineers, Data Scientists, or Machine Learning practitioners who want to use CNNs for solving real-world problems. Knowledge of basic machine learning concepts, linear algebra and Python will help.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 39,53
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. pp. 272.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 30,13
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Edité par Packt Publishing, United Kingdom, 2018
ISBN 10 : 1789130336 ISBN 13 : 9781789130331
Langue: anglais
Edition originale
EUR 26,32
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Very Good+. First Edition. 259 pages; Graphs. B&W illustrations. Very minor smudge on title page. Very Good condition otherwise. No other noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
EUR 39,38
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python l.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 34,16
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 34,57
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Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 37,43
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 28,95
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Edité par Packt Publishing Limited, 2018
ISBN 10 : 1789130336 ISBN 13 : 9781789130331
Langue: anglais
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 39,05
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Edité par Packt Publishing Limited, 2018
ISBN 10 : 1789130336 ISBN 13 : 9781789130331
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 38,14
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 520.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 38,82
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand pp. 272.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 41,47
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND pp. 272.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 48,91
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.