Accelerate Deep Learning Workloads with Amazon SageMaker

Table of Contents

Preface

Part 1: Introduction to Deep Learning on Amazon SageMaker

1

Introducing Deep Learning with Amazon SageMaker

Technical requirements

Exploring DL with Amazon SageMaker

Using SageMaker

Choosing Amazon SageMaker for DL workloads

Managed compute and storage infrastructure

Managed DL software stacks

Exploring SageMaker’s managed training stack

Step 1 – configuring and creating a training job

Step 2 – provisioning the SageMaker training cluster

Step 3 – SageMaker accesses the training data

Step 4 – SageMaker deploys the training container

Step 5 – SageMaker starts and monitors the training job

Step 6 – SageMaker persists the training artifacts

Using SageMaker’s managed hosting stack

Real-time inference endpoints

Creating ...