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
Read More
Specifications
Book Details
Title
Programming PyTorch for Deep Learning
Imprint
O'Reilly Media
Product Form
Paperback
Publisher
O'Reilly Media
Genre
Computers
ISBN13
9781492045359
Book Category
Higher Education and Professional Books
BISAC Subject Heading
COM021000
Book Subcategory
Computing and Information Technology Books
Language
English
Dimensions
Height
233 mm
Length
178 mm
Be the first to ask about this product
Safe and Secure Payments.Easy returns.100% Authentic products.