Verwandte Artikel zu Deep Learning with PyTorch: Build, Train, and Tune...
Inhaltsangabe
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated.
Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be.
Key features
• Using the PyTorch tensor API
• Understanding automatic differentiation in PyTorch
• Training deep neural networks
• Monitoring training and visualizing results
• Interoperability with NumPy
Audience
Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required.
About the technology
PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems.
Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.
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Über die Autorin bzw. den Autor
Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.
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Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools
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Manning (edition First Edition), 2020
ISBN 10: 1617295264
ISBN 13: 9781617295263
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Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools
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Zustand: New. Über den AutorEli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software.Klappentextrn. Bestandsnummer des Verkäufers 282295508
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Deep Learning with Pytorch : Build, Train, and Tune Neural Networks Using Python Tools
Verlag:
Manning Publications Aug 2020, 2020
ISBN 10: 1617295264
ISBN 13: 9781617295263
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Taschenbuch. Zustand: Neu. Neuware - Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Bestandsnummer des Verkäufers 9781617295263
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Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools
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Deep Learning with PyTorch
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Paperback. Zustand: New. Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features . Using the PyTorch tensor API . Understanding automatic differentiation in PyTorch . Training deep neural networks . Monitoring training and visualizing results . Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Bestandsnummer des Verkäufers LU-9781617295263
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