simple_net | simple deep neural network | Machine Learning library

by LiuXiaolong19920720 C++ Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | simple_net Summary

simple_net is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, OpenCV applications. simple_net has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A simple deep neural network implemented in C++，based with OpenCV Mat matrix class

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simple_net has a low active ecosystem.

It has 276 star(s) with 118 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 3 have been closed. On average issues are closed in 49 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of simple_net is current.

Quality

simple_net has no bugs reported.

Security

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

License

simple_net is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

simple_net 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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simple_net Key Features

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simple_net Examples and Code Snippets

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Community Discussions

Trending Discussions on simple_net

Tensorflow ValueError: No variables to save (but there are many)

QUESTION

Tensorflow ValueError: No variables to save (but there are many)

Asked 2018-May-30 at 18:16

I am trying to save a model from a graph that I have loaded from disk. I can load the graph and inspect it without issue, and run the training op, but I can't create a saver without getting ValueError: No variables to save.

Graph definition:

...

ANSWER

Answered 2018-May-30 at 18:16

You need to import the metagraph if you want tensorflow to recognize the variables; the graphdef itself doesn't have enough information to reconstruct everything. Look at the documentation for tf.train.import_meta_graph.

Source https://stackoverflow.com/questions/50574662

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

Vulnerabilities

No vulnerabilities reported

Install simple_net

You can download it from GitHub.

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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