The simplest way to deploy a machine learning model is to create a web service for prediction . In this example, we use the Flask web framework to wrap a simple random forest classifier built with scikit-learn.
Read moreHow do you deploy a machine learning model online?
How to deploy Machine Learning/Deep Learning models to the web
Read moreIs Google Mlkit free?
All are powered by Google’s best-in-class ML models and offered to you at no cost . ML Kit’s APIs all run on-device, allowing for real-time use cases where you want to process a live camera stream for example. This also means that the functionality is available offline.
Read moreHow do I create a realtime database in Firebase?
Create a Database
Read moreHow do I start working with Firebase?
Getting started with Firebase
Read moreHow do you make a model in python?
Model Creation in Python
Read moreWhat is custom ML model?
By default, ML Kit’s APIs make use of Google trained machine learning models. These models are designed to cover a wide range of applications . However, some use cases require models that are more targeted.
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