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Applied Deep Learning Tensorflow by Michelucci Umberto (18 results)
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Paperback or Softback. Condition: New. Applied Deep Learning with Tensorflow 2: Learn to Implement Advanced Deep Learning Techniques with Python 1.56. Book.
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International EditionApplied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python
ISBN 10: 1484283767 ISBN 13: 9781484283769
Condition: 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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Condition: New. 2nd ed. edition NO-PA16APR2015-KAP.
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£ 52.40
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£ 54.11
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Add to basketPaperback. Condition: New. 2nd ed. Special order direct from the distributor.
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Applied Deep Learning With Tensorflow 2 : Learn to Implement Advanced Deep Learning Techniques With Python
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 47.71
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Applied Deep Learning With Tensorflow 2 : Learn to Implement Advanced Deep Learning Techniques With Python
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 49.56
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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 54.07
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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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£ 52.01
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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 773.
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Applied Deep Learning with TensorFlow 2
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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£ 60.88
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 408 pp. Englisch.
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Applied Deep Learning with TensorFlow 2
Published by Springer, Berlin|Apress, 2022
ISBN 10: 1484280199 ISBN 13: 9781484280195
Language: English
£ 49.33
Convert currency£ 41.64 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .
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£ 64.68
Convert currency£ 27.04 shipping from Germany to U.S.A.Quantity: 7 available
Add to basketTaschenbuch. Condition: 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.
