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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 42,16
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Da: Best Price, Torrance, CA, U.S.A.
EUR 38,23
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 47,02
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Aggiungi al carrelloCondizione: New. Python Deep Learning Projects (Paperback or Softback) 1.77.
Da: California Books, Miami, FL, U.S.A.
EUR 47,28
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EUR 50,65
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 49,37
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Editore: Packt Publishing 2018-10-31, 2018
ISBN 10: 1788997093 ISBN 13: 9781788997096
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 46,00
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Aggiungi al carrelloPaperback. Condizione: New.
EUR 48,95
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Editore: Packt Publishing Limited, GB, 2018
ISBN 10: 1788997093 ISBN 13: 9781788997096
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 67,22
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Aggiungi al carrelloPaperback. Condizione: New. Insightful projects to master deep learning and neural network architectures using Python and KerasKey FeaturesExplore deep learning across computer vision, natural language processing (NLP), and image processingDiscover best practices for the training of deep neural networks and their deploymentAccess popular deep learning models as well as widely used neural network architecturesBook DescriptionDeep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You'll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system.Similarly, you'll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you'll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects.By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient wayWhat you will learnSet up a deep learning development environment on Amazon Web Services (AWS)Apply GPU-powered instances as well as the deep learning AMIImplement seq-to-seq networks for modeling natural language processing (NLP)Develop an end-to-end speech recognition systemBuild a system for pixel-wise semantic labeling of an imageCreate a system that generates images and their regionsWho this book is forPython Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects.It is assumed that you have sound knowledge of Python programming.
EUR 53,84
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Da: Studibuch, Stuttgart, Germania
EUR 31,43
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Aggiungi al carrellopaperback. Condizione: Gut. 472 Seiten; 9781788997096.3 Gewicht in Gramm: 1.
EUR 55,44
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Aggiungi al carrelloCondizione: New. Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate how neural networks play a vital role in exploring predictive analytics across different domains. You will explore projects in the field of computational ling.
Editore: Packt Publishing Limited, GB, 2018
ISBN 10: 1788997093 ISBN 13: 9781788997096
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 62,07
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Aggiungi al carrelloPaperback. Condizione: New. Insightful projects to master deep learning and neural network architectures using Python and KerasKey FeaturesExplore deep learning across computer vision, natural language processing (NLP), and image processingDiscover best practices for the training of deep neural networks and their deploymentAccess popular deep learning models as well as widely used neural network architecturesBook DescriptionDeep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You'll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system.Similarly, you'll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you'll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects.By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient wayWhat you will learnSet up a deep learning development environment on Amazon Web Services (AWS)Apply GPU-powered instances as well as the deep learning AMIImplement seq-to-seq networks for modeling natural language processing (NLP)Develop an end-to-end speech recognition systemBuild a system for pixel-wise semantic labeling of an imageCreate a system that generates images and their regionsWho this book is forPython Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects.It is assumed that you have sound knowledge of Python programming.
Da: ZBK Books, Carlstadt, NJ, U.S.A.
EUR 190,83
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Aggiungi al carrelloCondizione: good. Fast & Free Shipping â" Good condition with a solid cover and clean pages. Shows normal signs of use such as light wear or a few marks highlighting, but overall a well-maintained copy ready to enjoy. Supplemental items like CDs or access codes may not be included.