Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 28,55
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Lakeside Books, Benton Harbor, MI, Etats-Unis
EUR 27,35
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : 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!
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 32,14
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 49,01
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 42,23
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New. 2019. 1st ed. paperback. . . . . .
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 38,83
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 37,86
Quantité disponible : 10 disponible(s)
Ajouter au panierPF. Etat : New.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 45,07
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 285 pages. 9.00x6.00x0.75 inches. In Stock.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 40,49
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 51,81
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New. 2019. 1st ed. paperback. . . . . . Books ship from the US and Ireland.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 59,63
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 67,94
Quantité disponible : 5 disponible(s)
Ajouter au panierPaperback or Softback. Etat : New. Applied Deep Learning with Tensorflow 2: Learn to Implement Advanced Deep Learning Techniques with Python. Book.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 64,58
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New. 2nd ed. edition NO-PA16APR2015-KAP.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 63,02
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
ISBN 10 : 1484283767 ISBN 13 : 9781484283769
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 23,63
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 61,95
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
EUR 61,93
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New. 2022. 2nd ed. Paperback. . . . . .
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 56,83
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 60
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 60,50
Quantité disponible : 10 disponible(s)
Ajouter au panierPF. Etat : New.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 76,25
Quantité disponible : 15 disponible(s)
Ajouter au panierEtat : New. 2022. 2nd ed. Paperback. . . . . . Books ship from the US and Ireland.
ISBN 10 : 1484283767 ISBN 13 : 9781484283769
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 19,42
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New.
Langue: anglais
Edité par Apress, Apress Sep 2019, 2019
ISBN 10 : 1484249755 ISBN 13 : 9781484249758
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 48,14
Quantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection using Keras and TensorFlow.Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras with custom callback classes, what is eager execution, and how to use it in your models.Finally, you will study how object detection works, and build a complete implementation of the YOLO (you only look once) algorithm in Keras and TensorFlow. By the end of the book you will have implemented various models in Keras and learned many advanced tricks that will bring your skills to the next level.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 304 pp. Englisch.
Vendeur : preigu, Osnabrück, Allemagne
EUR 41,95
Quantité disponible : 5 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Advanced Applied Deep Learning | Convolutional Neural Networks and Object Detection | Umberto Michelucci | Taschenbuch | xviii | Englisch | 2019 | APRESS | EAN 9781484249758 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Vendeur : preigu, Osnabrück, Allemagne
EUR 58,50
Quantité disponible : 5 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Applied Deep Learning with TensorFlow 2 | Learn to Implement Advanced Deep Learning Techniques with Python | Umberto Michelucci | Taschenbuch | xxviii | Englisch | 2022 | Apress | EAN 9781484280195 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 39,22
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : new. Questo è un articolo print on demand.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 48,14
Quantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection using Keras and TensorFlow.Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras with custom callback classes, what is eager execution, and how to use it in your models. Finally, you will study how object detection works, and build a complete implementation of the YOLO (you only look once) algorithm in Keras and TensorFlow. By the end of the book you will have implemented various models in Keras and learned many advanced tricks that will bring your skills to the next level.What You Will LearnSee how convolutional neural networks and object detection workSave weights and models on diskPause training and restart it at a later stage Use hardware acceleration (GPUs) in your codeWork with the Dataset TensorFlow abstraction and use pre-trained models and transfer learningRemove and add layers to pre-trained networks to adapt them to your specific projectApply pre-trained models such as Alexnet and VGG16 to new datasetsWho This Book Is ForScientists and researchers with intermediate-to-advanced Python and machine learning know-how. Additionally, intermediate knowledge of Keras and TensorFlow is expected. 304 pp. Englisch.
Vendeur : moluna, Greven, Allemagne
EUR 40,39
Quantité disponible : Plus de 20 disponibles
Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book with extensive examples of advanced deep learning techniques including CNNUses real-life datasets in the application of advanced techniques Guides you from easier examples to more advanced tech.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 50,08
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection using Keras and TensorFlow.Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras with custom callback classes, what is eager execution, and how to use it in your models. Finally, you will study how object detection works, and build a complete implementation of the YOLO (you only look once) algorithm in Keras and TensorFlow. By the end of the book you will have implemented various models in Keras and learned many advanced tricks that will bring your skills to the next level.What You Will LearnSee how convolutional neural networks and object detection workSave weights and models on diskPause training and restart it at a later stage Use hardware acceleration (GPUs) in your codeWork with the Dataset TensorFlow abstraction and use pre-trained models and transfer learningRemove and add layers to pre-trained networks to adapt them to your specific projectApply pre-trained models such as Alexnet and VGG16 to new datasetsWho This Book Is ForScientists and researchers with intermediate-to-advanced Python and machine learning know-how. Additionally, intermediate knowledge of Keras and TensorFlow is expected.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 70,37
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks.All the code presented in the book will be available in the form of Jupyter not Elektronisches Buch which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be openeddirectly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally.You will:-Understand the fundamental concepts of how neural networks work-Learn the fundamental ideas behind autoencoders and generative adversarial networks-Be able to try all the examples with complete code examples that you can expand for your own projects-Have available a complete online companion book with examples and tutorials.This book is for:Readers with an intermediate understanding of machine learning, linear algebra, calculus, and basic Python programming.