CS231n | Stanford Deep Learning course experiments
kandi X-RAY | CS231n Summary
kandi X-RAY | CS231n Summary
CS231n is a Python library. CS231n has no bugs, it has no vulnerabilities and it has low support. However CS231n build file is not available. You can download it from GitHub.
Stanford Deep Learning course experiments.
Stanford Deep Learning course experiments.
Support
Quality
Security
License
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Support
CS231n has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
CS231n has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CS231n is current.
Quality
CS231n has no bugs reported.
Security
CS231n has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
CS231n 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.
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CS231n releases are not available. You will need to build from source code and install.
CS231n has no build file. You will be need to create the build yourself to build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of CS231n
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of CS231n
CS231n Key Features
No Key Features are available at this moment for CS231n.
CS231n Examples and Code Snippets
No Code Snippets are available at this moment for CS231n.
Community Discussions
No Community Discussions are available at this moment for CS231n.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CS231n
You can download it from GitHub.
You can use CS231n 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.
You can use CS231n 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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