Deep learning and modeling have many applications in computer vision.  Depending on the specific task you are trying to achieve you will want to use different deep learning techniques.  

For example a common computer vision task may be image classification where the purpose of the deep learning model is to determine what is depicted in a given image and generate either a subtitle for a human user to read or to generate a value that another algorithmic process will use to make decisions about that image.

Integrating the model into your specific task is very task dependent but the general flow is to first design the model you think will be effective, then train and evaluate that model using a large sample dataset, and finally deploy the trained model into your end user application.
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence