Preface content sidebar Julia for Deep Learning Preface 1 Introduction 2 Chapter 4: Under the Hood: Training a Digit Classifier 3 Summary 4 Contributors’ Guide References margin-sidebar Preface Edit this page Report an issue main Companion book of the Julia for Deep Learning Course Authors Affiliations Patrick Altmeyer Delft University of Technology Cameron Pfiffer Stanford University Published August 4, 2023 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 w...