Conduct deep model diagnostic & explainability
Reduce Frustration
Dive in your ML model to inspect the internal tensors, layer outputs, feature maps, weights and architecture. Save valuable hours and weeks by eliminating much guesswork and focusing on what matters most to achieve the performance you seek.
Get StartedLoad Saved Model
Simply Download and install the Zetane software and load previously saved ML models.
Load Inputs Or Outliers
Load your test input to understand how the data changes as it passes through the layers and operators of your model.
Inspect and Gain Valuable Insights
Save time and headaches by quickly pinpointing issues and validate your model by inspecting its internal data.
Using the free Zetane Viewer, you can open and inspect models from the Zetane Gallery or load your own models.
ResNet50 is a convolutional neural network with 50 layers used for image classification. Deep neural networks are difficult to train, and residual blocks facilitate the training of deep networks and help increase accuracy.
Use this model for segmentation of images-- medical images in particular. It has an encoding/decoding structure, with some skip connections in between. It is well-suited for small datasets and quickly provides precise segmentations.
This object detection model predicts the presence of one or more objects, along with their classes and bounding boxes. YOLO (You Only Look Once) is a state-of-the-art model that conducts object detection in real-time with high accuracy.
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.
Zetane is the solution of choice for accelerating progress and getting your projects approved, funded and deployed.
