hello_tf_c_api | Neural Network TensorFlow C API | Machine Learning library
kandi X-RAY | hello_tf_c_api Summary
kandi X-RAY | hello_tf_c_api Summary
hello_tf_c_api is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Neural Network applications. hello_tf_c_api has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Neural Network TensorFlow C API
Neural Network TensorFlow C API
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Quality
Security
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Support
hello_tf_c_api has a low active ecosystem.
It has 417 star(s) with 113 fork(s). There are 30 watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 51 have been closed. On average issues are closed in 99 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of hello_tf_c_api is current.
Quality
hello_tf_c_api has 0 bugs and 0 code smells.
Security
hello_tf_c_api has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
hello_tf_c_api code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
hello_tf_c_api is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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hello_tf_c_api 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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of hello_tf_c_api
hello_tf_c_api Key Features
No Key Features are available at this moment for hello_tf_c_api.
hello_tf_c_api Examples and Code Snippets
No Code Snippets are available at this moment for hello_tf_c_api.
Community Discussions
Trending Discussions on hello_tf_c_api
QUESTION
How to perform operations like transpose or argmax in tensorflow c api
Asked 2021-Sep-29 at 15:09
I have written code base on https://github.com/Neargye/hello_tf_c_api but I have to transpose input tensor and extend its dimensions. On output tensor I have to perform arg_max.
...ANSWER
Answered 2021-Sep-29 at 15:09Ok, I managed to found the answer by reading this repo.
First you have to create:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install hello_tf_c_api
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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