# Runtime Phase

Runtime stands for inference-only, which means that the tools can process images, but the tools cannot be modified or retrained. The processing of tools is the minimum functionality required to be able to run the Deep Learning Tools in a deployed production environment.

Pros | Cons
--- | ---
Easier to integrate | Needs a running Deep Learning license to be able to retrain the tools
Parameters are frozen, the application operator cannot modify the tools | More complicated architecture

The runtime phase of the Cognex VisionPro Deep Learning deep learning tools is simpler than the training phase. The runtime components are comprised of the following:

- Sampling
- Neural network processing
- Results formation

Note: For more information about neural network processing and feature sampling, see Processing a Neural Network (Inferencing)