Reference architectures provide a consistent approach and best practices for a given solution. Each architecture includes recommended practices, along with considerations for scalability, availability, manageability, and security. This architecture includes a deployable solution as well. The full array of reference architectures is available on the Azure Architecture Center .
This reference architecture shows how to apply neural style transfer to a video, using Azure Batch AI. Style transfer is a deep learning technique that composes an existing image in the style of another image. This architecture can be generalized for any scenario that uses batch scoring with deep learning.
This architecture consists of the following components: