cat_vs_dog | Deep Learning course - class project

by soroushmehr Python Version: Current License: No License

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

kandi X-RAY | cat_vs_dog Summary

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

IFT6266H15: Representation and Deep Learning course - class project.

Support

Quality

Security

License

Reuse

Support

cat_vs_dog has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

cat_vs_dog has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cat_vs_dog is current.

Quality

cat_vs_dog has no bugs reported.

Security

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

License

cat_vs_dog 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

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

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

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cat_vs_dog Key Features

No Key Features are available at this moment for cat_vs_dog.

cat_vs_dog Examples and Code Snippets

No Code Snippets are available at this moment for cat_vs_dog.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install cat_vs_dog

You can download it from GitHub.
You can use cat_vs_dog 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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