ResNet_with_IdentityMapping | python script implementation of residual network

by yuhanghe01 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | ResNet_with_IdentityMapping Summary

ResNet_with_IdentityMapping is a Python library. ResNet_with_IdentityMapping has no bugs, it has no vulnerabilities and it has low support. However ResNet_with_IdentityMapping build file is not available. You can download it from GitHub.

python script implementation of residual network of identity mapping

Support

Quality

Security

License

Reuse

Support

ResNet_with_IdentityMapping has a low active ecosystem.

It has 15 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1630 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ResNet_with_IdentityMapping is current.

Quality

ResNet_with_IdentityMapping has no bugs reported.

Security

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

License

ResNet_with_IdentityMapping does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ResNet_with_IdentityMapping releases are not available. You will need to build from source code and install.

ResNet_with_IdentityMapping has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed ResNet_with_IdentityMapping and discovered the below as its top functions. This is intended to give you an instant insight into ResNet_with_IdentityMapping implemented functionality, and help decide if they suit your requirements.

ResNet layer .
r Redisual connect to the given bottom dimension .
Connect with dimen match .
Redisual connect with dimen match .
A block convolution layer .
A block convolution layer .
Resolve a residual layer .
Create a convolution layer .
Scale factorization .
Vertices between two vertices .

Get all kandi verified functions for this library.

ResNet_with_IdentityMapping Key Features

No Key Features are available at this moment for ResNet_with_IdentityMapping.

ResNet_with_IdentityMapping Examples and Code Snippets

No Code Snippets are available at this moment for ResNet_with_IdentityMapping.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ResNet_with_IdentityMapping

You can download it from GitHub.
You can use ResNet_with_IdentityMapping like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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