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DeepVisualInsight

DeepVisualInsight (DVI) is a time-travelling visualization solution for how the classification boundaries of a learned model is trained in two-dimensional space.

Install / Use

/learn @xianglinyang/DeepVisualInsight
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

DeepVisualInsight (DVI): A visualization platform for debugging deep neural network models

DeepVisualInsight (DVI) is a time-travelling visualization solution for how the classification boundaries of a learned model is trained in two-dimensional space.

Requirement

To start playing with DVI, please run:

$ conda create -n DVI_newest python=3.6
$ git clone https://github.com/xianglinyang/DeepVisualInsight.git
$ pip -r install requirements.txt

Installation

Please follow Usage Instructions to use DVI.

For more details, please see our wiki.

View on GitHub
GitHub Stars37
CategoryDevelopment
Updated2mo ago
Forks3

Languages

Jupyter Notebook

Security Score

75/100

Audited on Jan 20, 2026

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