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Advanced Deep Learning Convolutional (21 results)
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International EditionCondition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketPaperback. Condition: Brand New. 285 pages. 9.00x6.00x0.75 inches. In Stock.
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Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Practical Convolutional Neural Networks: Implementing Advanced Deep Learning Models in Python(Chinese Edition)
Published by Mechanical Industry Press, 2019
ISBN 10: 7111621964 ISBN 13: 9787111621966
Language: Chinese
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-05-01 Publisher: Mechanical Industry Press Chapter 1 provides a quick review of the scientific principles of deep neural networks and the different frameworks for implementing such networks and the mathematical mechanisms behind them. Chapter 2 introduces the reader to convolutional neural networks and shows how to use deep learning to extract information from images. Chapter 3 builds on image classification problems from scratch.
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Advanced Deep Learning: Convolutional Neural Networks and Object Detection(Chinese Edition)
Published by Machinery Industry Press, 2020
ISBN 10: 7111660927 ISBN 13: 9787111660927
Language: Chinese
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2020-07-01 Pages: 220 Publisher: Machinery Industry Press This book introduces the core of convolutional neural networks-the intricate details and the subtleties of the algorithm.?It mainly includes advanced topics of convolutional neural networks and object detection using Keras and TensorFlow.?Contents: Foreword Acknowledgements Chapter 1 Introduction and Setting up the Development Environment 1 1.1 GitHub Repository and Supporting Website 2 1.2 Essenti.
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Practical Convolutional Neural Networks Implement advanced deep learning models using Python
Published by Packt Publishing Limited, 2018
ISBN 10: 1788392302 ISBN 13: 9781788392303
Language: English
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Practical Convolutional Neural Networks Implement advanced deep learning models using Python
Published by Packt Publishing Limited, 2018
ISBN 10: 1788392302 ISBN 13: 9781788392303
Language: English
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Practical Convolutional Neural Networks: Implement advanced deep learning models using Python
Published by Packt Publishing Limited, 2018
ISBN 10: 1788392302 ISBN 13: 9781788392303
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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£ 36.56
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
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Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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£ 43.82
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Add to basketTaschenbuch. Condition: 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.
