API Gateway: exposing the lambda function In this article we want to take the lambda function which was created in the last article and expose it as a web service. For that we will use API Gateway which is a service from AWS that lets us expose different AWS services as web services including lambdaContinue reading “ML Zoomcamp 2023 – Serverless – Part 7”
Category Archives: Serverless Deployment
ML Zoomcamp 2023 – Serverless – Part 6
Creating the lambda function Publish the image to AWS ECR Last time we used “Author from scratch” to create a lambda function on AWS. This time we use the option “Container image” for this. Here we need to provide the “Amazon ECR image URI”, which is a place where we can publish images. ECR meansContinue reading “ML Zoomcamp 2023 – Serverless – Part 6”
ML Zoomcamp 2023 – Serverless – Part 5
Preparing a Docker image In this part we want to package everything into a docker container. We use an AWS base image for our Dockerfile. You can find the public images from aws here (public.ecr.aws –> gallery.ecr.aws). In the gallery you can search for “python lambda” and we can find “python by AWS Lambda”. ThenContinue reading “ML Zoomcamp 2023 – Serverless – Part 5”
ML Zoomcamp 2023 – Serverless – Part 4
Preparing the Code for Lambda In the last parts we used Jupyter notebooks. Now we need Python scripts for the next steps, so we need to convert our existing code from Jupyter notebook to normal Python scripts. The tool we want to use is called nbconvert. Just use this command: We need to clean theContinue reading “ML Zoomcamp 2023 – Serverless – Part 4”
ML Zoomcamp 2023 – Serverless – Part 3
This is the second part of TensorFlow Lite section. The last article has covered the topics of converting the Keras model to TensorFlow Lite model and using it. In this article we are really removing TensorFlows dependency and excluding it completely. TensorFlow Lite – Part 2/2 Removing TensorFlow dependency When we only want to useContinue reading “ML Zoomcamp 2023 – Serverless – Part 3”
ML Zoomcamp 2023 – Serverless – Part 2
This section is about TensorFlow Lite and divided into two parts. In the first part (this article) there are information about TensorFlow Lite. So what is this library especially in contrast to TensorFlow. We’ll look again at the heavy-weight way using the big package of TensorFlow and then we’ll try to exclude TensorFlow step byContinue reading “ML Zoomcamp 2023 – Serverless – Part 2”
ML Zoomcamp 2023 – Serverless – Part 1
In this chapter, we will focus on how to take the trained model and deploy it. There are different ways to deploy a model, and one option is to deploy it using AWS Lambda. Introduction to serverless and AWS Lambda AWS Lambda enables the deployment of various applications, including machine learning models. The process involvesContinue reading “ML Zoomcamp 2023 – Serverless – Part 1”
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