Summary

In this chapter, we explored the world of deploying trained PyTorch deep learning models in production systems.

In the next chapter, we will learn how to deploy trained PyTorch models on different mobile operating systems – Android and iOS.

Reference list

1. Full code for Creating a PyTorch model inference pipeline exercise: https://github.com/PacktPublishing/Mastering-PyTorch/blob/master/Chapter10/mnist_pytorch.ipynb
2. Notebook for Creating a PyTorch model inference pipeline exercise: https://github.com/PacktPublishing/Mastering-PyTorch/blob/master/Chapter10/run_inference.ipynb
3. Flask library: https://flask.palletsprojects.com/en/1.1.x/
4. Full code for the Using Flask to build our model server exercise: https://github.com/PacktPublishing/Mastering-PyTorch/blob/master/Chapter10/server.py
5. Flask server code: https://github.com/PacktPublishing/Mastering-PyTorch/blob/master/Chapter10/make_request.py
6. What are Microservices: https...