The Picasso visualizer tool is an open-source deep neural network visualization tool. It can be used to understand neural nets' decisions in the field of computer vision.
The scope of Picasso is definded as per below:
- Provide a web framework to connect DNNs trained in various frameworks (currently Tensorflow and Keras) to visualizations
- Handle upload of inputs (images)
- Provide some useful default visualizations, and a frontend for navigating them:
- Class probabilities
- Occlusion of parts of objects (Zeiler, 2014)
- Saliency maps (Simonyan, 2014)
Additionally, we strive for:
- Ease of working with new models
- Ease of adding new visualizations
This is not a program for monitoring evaluation metrics or visualizating the computational graph itself. Thus, functionality like that provided in Tensorboard is out-of-scope.
Name | Date |
---|
Name | Date |
---|---|
Creation Review | 2017-07-19 |