Machine Learning in Production. Using Google Cloud Functions (Part

Description

Summary

• Machine Learning in Production Using Google Cloud Functions (Part-3) This is going to be the last article in this series where we will explore Google Cloud Functions as our third option of choice when deploying machine learning models.
• Go ahead and update the requirements for the cloud function, I will be using the below two packages.
• tensorflow==2.1.0google-cloud-storage==1.35.0 Next we need to implement our cloud function which will be responsible for Downloading the model from cloud-storage bucket Loading the model using tensorflow Handle incoming requests and respond with predictions Let’s first write code to download the model Here we are first creating the download-directory for our model, after that, we are getting the files from the bucket and downloading them.
• Lastly, we need to handle the incoming requests and respond with model predictions.