Julia for Deep Learning

Companion book of the Julia for Deep Learning Course

Authors

Affiliations

Patrick Altmeyer

Delft University of Technology

Cameron Pfiffer

Stanford University

Preface

This book provides an overview of a pure Julia implementation of the fastai book: Deep Learning for Coders with fastai and PyTorch. The original book works with Python and PyTorch. This book works with Julia and relies primarily on Flux.jl (Innes 2018). The original book is written by Jeremy Howard and Sylvain Gugge (Howard and Gugger 2020). This book is written by participants of the Julia for Deep Learning course.

The book is served from GitHub.

Howard, Jeremy, and Sylvain Gugger. 2020. Deep Learning for Coders with Fastai and PyTorch. "O’Reilly Media, Inc.".

Innes, Mike. 2018. “Flux: Elegant Machine Learning with Julia.” Journal of Open Source Software 3 (25): 602.