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Publicado por O'Reilly Media 10/15/2019, 2019
ISBN 10: 1492045357 ISBN 13: 9781492045359
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
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Añadir al carritoPaperback or Softback. Condición: New. Programming Pytorch for Deep Learning: Creating and Deploying Deep Learning Applications 0.79. Book.
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 42,24
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Añadir al carritoPaperback. Condición: New. Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks.Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production.Learn how to deploy deep learning models to productionExplore PyTorch use cases from several leading companiesLearn how to apply transfer learning to imagesApply cutting-edge NLP techniques using a model trained on WikipediaUse PyTorch's torchaudio library to classify audio data with a convolutional-based modelDebug PyTorch models using TensorBoard and flame graphsDeploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 43,65
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Añadir al carritoPaperback. Condición: New. Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks.Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production.Learn how to deploy deep learning models to productionExplore PyTorch use cases from several leading companiesLearn how to apply transfer learning to imagesApply cutting-edge NLP techniques using a model trained on WikipediaUse PyTorch's torchaudio library to classify audio data with a convolutional-based modelDebug PyTorch models using TensorBoard and flame graphsDeploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud.
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EUR 46,10
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Añadir al carritoPaperback. Condición: New. Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks.Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production.Learn how to deploy deep learning models to productionExplore PyTorch use cases from several leading companiesLearn how to apply transfer learning to imagesApply cutting-edge NLP techniques using a model trained on WikipediaUse PyTorch's torchaudio library to classify audio data with a convolutional-based modelDebug PyTorch models using TensorBoard and flame graphsDeploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud.
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 209.
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EUR 52,06
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Añadir al carritoPaperback. Condición: New. Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks.Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production.Learn how to deploy deep learning models to productionExplore PyTorch use cases from several leading companiesLearn how to apply transfer learning to imagesApply cutting-edge NLP techniques using a model trained on WikipediaUse PyTorch's torchaudio library to classify audio data with a convolutional-based modelDebug PyTorch models using TensorBoard and flame graphsDeploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 36,91
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por O'reilly Media Okt 2019, 2019
ISBN 10: 1492045357 ISBN 13: 9781492045359
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 56,91
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks.
Publicado por O'Reilly Media (edition 1), 2019
ISBN 10: 1492045357 ISBN 13: 9781492045359
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 12,72
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Añadir al carritoPaperback. Condición: Fair. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Añadir al carritoCondición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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Añadir al carritoPaperback. Condición: 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!
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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Añadir al carritoPaperback. Condición: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Publicado por O'Reilly Media, Sebastopol, 2019
ISBN 10: 1492045357 ISBN 13: 9781492045359
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 46,29
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Añadir al carritoPaperback. Condición: new. Paperback. Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks.Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production.Learn how to deploy deep learning models to production Explore PyTorch use cases from several leading companies Learn how to apply transfer learning to images Apply cutting-edge NLP techniques using a model trained on Wikipedia Use PyTorch's torchaudio library to classify audio data with a convolutional-based model Debug PyTorch models using TensorBoard and flame graphs Deploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud" Take the next steps toward mastering deep learning, the machine learning method thats transforming the world around us by the second. In this practical book, youll get up to speed on key ideas using Facebooks open source PyTorch framework and gain the latest skills you need to create your very own neural networks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Librairie Chat, Beijing, China
EUR 88,06
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Añadir al carritoCondición: Fine. Number of pages: 200 Size: Paperback.