Gender_Classification_ | netwtwoek neutrak classification Model
kandi X-RAY | Gender_Classification_ Summary
kandi X-RAY | Gender_Classification_ Summary
Gender_Classification_ is a Jupyter Notebook library. Gender_Classification_ has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
This is a netwtwoek neutrak classification Model in which we implemented a CNN model using Keras to predict the gender of the subject in the picture in the picture, handling a dataset with size over 0.18M and predicts whether the subject is male of female .
This is a netwtwoek neutrak classification Model in which we implemented a CNN model using Keras to predict the gender of the subject in the picture in the picture, handling a dataset with size over 0.18M and predicts whether the subject is male of female .
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Gender_Classification_ 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.
Gender_Classification_ has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Gender_Classification_ is current.
Quality
Gender_Classification_ has no bugs reported.
Security
Gender_Classification_ has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Gender_Classification_ 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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Gender_Classification_ releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Gender_Classification_
Gender_Classification_ Key Features
No Key Features are available at this moment for Gender_Classification_.
Gender_Classification_ Examples and Code Snippets
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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You can download it from GitHub.
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