Exploring the crucial components for DL model deployment
So, what does it take to deploy a DL model? It starts with having a holistic view of each required component and defining clear requirements that guide decision-making for every aspect. This approach ensures alignment with the business goals and requirements, maximizing the chances of a successful deployment. With careful planning, diligent execution, and a focus on meeting the needs of the business, you can increase the likelihood of successfully deploying your DL model and unlocking its value for users. We will start by discovering components that are required to deploy a DL model.
Deploying a DL model to production involves more than just the trained model itself. It requires seamless collaboration among various components, working together to enable users to effectively extract value from the model’s predictions. These components are as follows:
- Architectural choices: The overall design and structure of...
