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portada Programming Pytorch for Deep Learning: Creating and Deploying Deep Learning Applications
Type
Physical Book
Publisher
Year
2019
Language
English
Pages
220
Format
Paperback
Dimensions
23.3 x 17.8 x 1.2 cm
Weight
0.36 kg.
ISBN13
9781492045359
Edition No.
1

Programming Pytorch for Deep Learning: Creating and Deploying Deep Learning Applications

Ian Pointer (Author) · O'Reilly Media · Paperback

Programming Pytorch for Deep Learning: Creating and Deploying Deep Learning Applications - Pointer, Ian

New Book Imported to South Africa
Delivery: 25 Aug - 02 Sep Shipping: 2 to 2 business days.
R 884
R 884

Synopsis "Programming Pytorch for Deep Learning: Creating and Deploying Deep Learning Applications "

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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