Programming PyTorch for deep learning : creating and deploying deep learning applications / Ian Pointer.

Format:

Book

Author/Creator:

Pointer, Ian, author.

Language:

English

Subjects (All):

Neural networks (Computer science).

Physical Description:

1 online resource (220 pages)

Edition:

First edition.

Place of Publication:

Beijing : O'Reilly, [2019]

System Details:

text file

Summary:

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

Contents:

Getting started with PyTorch

Image classification with PyTorch

Convolutional neural networks

Transfer learning and other tricks

Text classification

A journey into sound

Debugging PyTorch models

PyTorch in production

PyTorch in the wild.

Notes:

Includes index.

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781492045304

1492045306

9781492045342

1492045349

9781492045328

1492045322

OCLC:

1122564741