TensorFlow Deployment on Cloud
### Cloud Deployment...
Cloud Deployment
Summary
This project details the containerization of a trained TensorFlow model using Docker and its deployment as a scalable cloud microservice. It provides real-time inference capabilities for deployed applications. The solution focuses on scalable infrastructure and seamless cloud integration.
This project details the process of taking a trained TensorFlow model, containerizing it with Docker, and deploying it as a scalable microservice on a cloud platform. The endpoint provides real-time inference.