Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 32,51
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Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Da: Better World Books: West, Reno, NV, U.S.A.
EUR 28,03
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Aggiungi al carrelloCondizione: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Da: California Books, Miami, FL, U.S.A.
EUR 47,69
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Aggiungi al carrelloCondizione: New.
Da: SecondSale, Montgomery, IL, U.S.A.
EUR 25,44
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Aggiungi al carrelloCondizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 47,26
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Aggiungi al carrelloCondizione: New. In.
Editore: Packt Publishing 12/12/2019, 2019
ISBN 10: 178995617X ISBN 13: 9781789956177
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 47,43
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Advanced Deep Learning with Python 1.76. Book.
Da: GoldBooks, Denver, CO, U.S.A.
EUR 32,16
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Aggiungi al carrelloPaperback. Condizione: new. New Copy. Customer Service Guaranteed.
EUR 43,72
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Aggiungi al carrelloCondizione: New.
Editore: Packt Publishing Limited, GB, 2019
ISBN 10: 178995617X ISBN 13: 9781789956177
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 61,28
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Aggiungi al carrelloPaperback. Condizione: New. Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystemKey FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook DescriptionIn order to build robust deep learning systems, you'll need to understand everything from how neural networks work to training CNN models. In this book, you'll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application.You'll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you'll focus on variational autoencoders and GANs. You'll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You'll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you'll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you'll understand how to apply deep learning to autonomous vehicles.By the end of this book, you'll have mastered key deep learning concepts and the different applications of deep learning models in the real world.What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is forThis book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.
EUR 47,25
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Aggiungi al carrelloCondizione: New.
EUR 49,02
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 55,44
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Aggiungi al carrelloCondizione: New. This book is an expert-level guide to master the neural network variants using the Python ecosystem. You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. By the end of this book, you will be up to d.
Editore: Packt Publishing Limited, GB, 2019
ISBN 10: 178995617X ISBN 13: 9781789956177
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 67,08
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystemKey FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook DescriptionIn order to build robust deep learning systems, you'll need to understand everything from how neural networks work to training CNN models. In this book, you'll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application.You'll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you'll focus on variational autoencoders and GANs. You'll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You'll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you'll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you'll understand how to apply deep learning to autonomous vehicles.By the end of this book, you'll have mastered key deep learning concepts and the different applications of deep learning models in the real world.What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is forThis book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.
EUR 45,50
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
EUR 53,26
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 42,53
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Aggiungi al carrelloCondizione: New.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 83,62
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
EUR 21,74
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Aggiungi al carrellopaperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: GoldBooks, Denver, CO, U.S.A.
EUR 89,93
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Aggiungi al carrelloCondizione: new.
Da: GoldBooks, Denver, CO, U.S.A.
EUR 223,56
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Aggiungi al carrelloPaperback. Condizione: new. New Copy. Customer Service Guaranteed.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 49,52
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 57,61
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Majestic Books, Hounslow, Regno Unito
EUR 50,88
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 468.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 55,78
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 994.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 69,83
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.