Keras_Example | use Keras to construct deep learning models

by georgeiswang Python Version: Current License: No License

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kandi X-RAY | Keras_Example Summary

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

A Tutorial on how to use Keras to construct deep learning models. Details are included in the .key file.

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Quality

Security

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Support

Keras_Example has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Keras_Example is current.

Quality

Keras_Example has no bugs reported.

Security

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

License

Keras_Example 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

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

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

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Keras_Example Key Features

No Key Features are available at this moment for Keras_Example.

Keras_Example Examples and Code Snippets

No Code Snippets are available at this moment for Keras_Example.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Keras_Example

You can download it from GitHub.
You can use Keras_Example 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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