Visual Analytics System to Assess, Understand, and Improve Deep Neural Networks
AssigneeRobert Bosch GmbH
InventorsLiang Gou, Lincan Zou, Wenbin He, Liu Ren
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AssigneeRobert Bosch GmbH
InventorsLiang Gou, Lincan Zou, Wenbin He, Liu Ren
Estimating the term…
A visual analytics workflow and system are disclosed for assessing, understanding, and improving deep neural networks. The visual analytics workflow advantageously enables interpretation and improvement of the performance of a neural network model, for example an image-based objection detection and classification model, with minimal human-in-the-loop interaction. A data representation component extracts semantic features of input image data, such as colors, brightness, background, rotation, etc. of the images or objects in the images. The input image data are passed through the neural network to obtain prediction results, such as object detection and classification results. An interactive visualization component transforms the prediction results and semantic features into interactive and human-friendly visualizations, in which graphical elements encoding the prediction results are visually arranged depending on the extracted semantic features of input image data.
A method for visualizing an operation of a neural network model, the method comprising:
A system for visualizing an operation of a neural network model, the system comprising:
A non-transitory computer readable medium for visualizing an operation of a neural network model, the computer-readable medium storing program instructions that, when executed by a processor, cause the processor to:
Dependencies are inferred from the claim text.