e818f52d23
|
||
|---|---|---|
| .. | ||
| 00_DevelopModel.ipynb | ||
| 01_DevelopModelDriver.ipynb | ||
| 02_BuildImage.ipynb | ||
| 03_TestLocally.ipynb | ||
| 04_DeployOnAKS.ipynb | ||
| 05_TestWebApp.ipynb | ||
| 06_SpeedTestWebApp.ipynb | ||
| 07_TearDown.ipynb | ||
| README.md | ||
| environment.yml | ||
| resnet152.py | ||
| testing_utilities.py | ||
README.md
Deploy ResNet 152 model on GPU enaled Kubernetes cluster using Keras with Tensorflow
In this folder are the tutorials for deploying a Keras model (with Tensorflow backend) on a Kubernetes cluster.
The tutorial is made up of the following notebooks:
- Model development where we load the pretrained model and test it by using it to score images
- Developing the interface our Flask app will use to load and call the model
- Building the Docker Image with our Flask REST API and model
- Testing our Docker image before deployment
- Creating our Kubernetes cluster and deploying our application to it
- Testing the deployed model
- Testing the throughput of our model
- Cleaning the resources used