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Classroom Contents
Using Kubernetes for Machine Learning Frameworks
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- 1 Intro
- 2 Centerpiece for digital transformation
- 3 Machine Learning 101
- 4 The Amazon ML stack: Broadest & deepest set of capabilities
- 5 Amazon EKS-run Kubernetes in cloud
- 6 Amazon EKS deployment
- 7 Getting started with Amazon EKS
- 8 Creating an EKS cluster using eksctl
- 9 GPUs for Machine Learning training • Training maps to matrix multiplications • Coupled with extremely high memory bandwidth
- 10 Set up K8s for ML-option 1
- 11 Create K8s cluster for ML-option 1
- 12 Scaling the cluster
- 13 Create K8s cluster for ML-option 2
- 14 Set up K8s for ML-option 2b
- 15 Challenges in setting up containers for ML
- 16 AWS deep learning containers
- 17 16 container images
- 18 ML on K8s—without KubeFlow
- 19 MNIST database
- 20 Fashion MNIST
- 21 AWS is the platform of choice to run TensorFlow
- 22 Machine Learning using TensorFlow on K8s
- 23 Apache MXNet
- 24 Distributed training using Horovod
- 25 Machine Learning pipeline for K8s
- 26 Machine Learning pipeline using SageMaker
