miguelaeh / innosoft-examples

Examples for the Innosoft Days presentation

Machine learning examples for the Innosoft Days

This repo contains examples used to show bitnami solutions, mainly Helm Charts, for Machine Learning (ML).

Prepare the environment

To follow the docker-compose examples:

1. Install Docker: https://docs.docker.com/engine/install/

2. Install docker-compose: https://docs.docker.com/compose/install/

To follow the Kubernetes examples:

1. Install Kubectl: https://kubernetes.io/docs/tasks/tools/install-kubectl/

2. Install Helm: https://helm.sh/docs/intro/install/

3. Add bitnami Helm Chart repo:

helm repo add bitnami https://charts.bitnami.com/bitnami

Examples

1. The first example will deploy Tensorflow Serving that will serve a pre-loaded ResNet model using the bitnami/tensorflow-serving container. In this example, we will also show how to perform queries from the bitnami/tensorflow-resnet container. We will follow the process either using Helm Charts and docker-compose. Follow the complete guide here.

2. The second example will guide you to train a LSTM model using Pytorch and then use it to generate a 1000 words text. In this example we will use the Pytorch official examples. Follow the complete guide here.