Zetane Viewer Pro
Zetane Software and Services
Freddy Lécué, Chief AI Scientist, Thales Group
Everything. The model architecture and all the internal tensors, each layer output, feature maps, weights, biases, values and operator attributes.
After saving your Keras, Pytorch or ONNX model from your own workflow, you can load your model so that you can inspect, debug and validate it in Zetane Viewer. Using the Zetane python package, you can also use the Python-Zetane API to send models, NumPy arrays, text, images, point clouds and meshes to the Zetane Engine.
The Zetane Viewer Pro allows you to load your own input so you can identify, validate and determine how to improve your model.
By carefully encapsulating the data. At the highest level you can navigate your model architecture, zoom on specific nodes. Clicking on the tensor buttons allows you to inspect the tensor and values distributions. Then, each tensor has different types of visualization to choose from.
If the model can be saved you should be able to open it to inspect all its components. Regardless of their purpose, ML models are composed of operation and tensors which we help you access with no effort.