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!

N� de ref. del art�culo S_377609346

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
Editor: O'Reilly Media
Fecha de publicaci�n: 2019
Idioma: Ingl�s
ISBN 10: 1492045357
ISBN 13: 9781492045359
Encuadernaci�n: Paperback
Estado: Acceptable

Acerca de

Sinopsis

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

Acerca del autor

Currently Ian is the Director of Partner Engineering at a company called Kogentix that specializes in Machine Learning solutions (including Deep Learning techniques), with multiple Fortune 100 clients. Prior to that, he worked for many years at an early Big Data startup called Mammoth Data, cutting his teeth on Apache Hadoop and Apache Spark. He emigrated to the US from the UK in 2011 and became an American citizen in 2017.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.