In this blog series so far, I have presented the concepts behind a music recommendation engine, a music recommendation model for TensorFlow, and a GCP architecture to make it accessible via the web. The end result has been an ML model wrapped in a stand-alone service to give you predictions on-demand.
Before diving further into implementing more complicated ML models, I thought it would first be worth looking into how we could deploy our TensorFlow model into AWS. After some investigation, I’ve concluded that the better way is to use Lambda functions. In this post, I’ll explain why that’s the case, how you can do it, and an interesting pain point you have to keep in mind.
Let’s break the new ground!