Deploying a Deep Learning Model on the Google Cloud Platform
Step 1: First, you need to create an f1-micro instance on Compute Engine by logging into Google Cloud.
Step 2:  Next step is to take up a machine learning model from any open-source platform like Github and train it before exporting it.
Step 3: Now, considering the less memory space in the instance, you’ll need to add swap memory. This will enable you to install all the required deep learning libraries in your instance.
Step 4: You'll need to write a Python script to serve your model on the web using the Starlette ASGI web framework.
Step 5: You'll need to use Docker to create a container your application will run. This allows you to execute the application anywhere in its environment.
Step 6: All you have to do now is start your Docker container using your machine's External IP address, which you can locate on Compute Engine.