Interpretable_CNNs_via_Feedforward_design | Official Implementation for FF_designed CNNs

 by   minzhang-1 Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Interpretable_CNNs_via_Feedforward_design Summary

kandi X-RAY | Interpretable_CNNs_via_Feedforward_design Summary

Interpretable_CNNs_via_Feedforward_design is a Jupyter Notebook library. Interpretable_CNNs_via_Feedforward_design has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This is an implementation of the paper Interpretable Convolutional Neural Networks via Feedforward Design, maintained by Min Zhang and Jiali Duan.
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              Interpretable_CNNs_via_Feedforward_design has a low active ecosystem.
              It has 14 star(s) with 3 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              Interpretable_CNNs_via_Feedforward_design has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Interpretable_CNNs_via_Feedforward_design is current.

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              Interpretable_CNNs_via_Feedforward_design has no bugs reported.

            kandi-Security Security

              Interpretable_CNNs_via_Feedforward_design has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Interpretable_CNNs_via_Feedforward_design does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              Interpretable_CNNs_via_Feedforward_design releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            Interpretable_CNNs_via_Feedforward_design Key Features

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            Interpretable_CNNs_via_Feedforward_design Examples and Code Snippets

            No Code Snippets are available at this moment for Interpretable_CNNs_via_Feedforward_design.

            Community Discussions

            No Community Discussions are available at this moment for Interpretable_CNNs_via_Feedforward_design.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Interpretable_CNNs_via_Feedforward_design

            You can download it from GitHub.

            Support

            Jiali Duan (Email: jialidua@usc.edu) Min Zhang (Email: zhan980@usc.edu).
            Find more information at:

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