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Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2018
ISBN 10: 1788831306 ISBN 13: 9781788831307
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 61,83
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Aggiungi al carrelloPaperback. Condizione: New. The purpose of this book is two-fold, we focus on detailed coverage of deep learning and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is on real-world examples and research problems using TensorFlow, Keras and Python ecosystem with hands-on examples.
Condizione: New. pp. 438.
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: Packt Publishing 2018-08-31, 2018
ISBN 10: 1788831306 ISBN 13: 9781788831307
Da: Chiron Media, Wallingford, Regno Unito
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Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2018
ISBN 10: 1788831306 ISBN 13: 9781788831307
Da: Rarewaves.com UK, London, Regno Unito
EUR 57,73
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Aggiungi al carrelloPaperback. Condizione: New. The purpose of this book is two-fold, we focus on detailed coverage of deep learning and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is on real-world examples and research problems using TensorFlow, Keras and Python ecosystem with hands-on examples.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 438.
Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: moluna, Greven, Germania
EUR 62,30
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The purpose of this book is two-fold, we focus on detailed coverage of deep learning and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is on real-world examples and research problems.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 71,85
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem Key Features Build deep learning models with transfer learning principles in Python implement transfer learning to solve real-world research problems Perform complex operations such as image captioning neural style transfer Book Description Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems. The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP). By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems. What you will learn Set up your own DL environment with graphics processing unit (GPU) and Cloud support Delve into transfer learning principles with ML and DL models Explore various DL architectures, including CNN, LSTM, and capsule networks Learn about data and network representation and loss functions Get to grips with models and strategies in transfer learning Walk through potential challenges in building complex transfer learning models from scratch Explore real-world research problems related to computer vision and audio analysis Understand how transfer learning can be leveraged in NLP.