A-CRNN-model-for-Text-Recognition-in-Keras | algorithm used in the model follow

 by   TheAILearner Jupyter Notebook Version: Current License: No License

kandi X-RAY | A-CRNN-model-for-Text-Recognition-in-Keras Summary

kandi X-RAY | A-CRNN-model-for-Text-Recognition-in-Keras Summary

A-CRNN-model-for-Text-Recognition-in-Keras is a Jupyter Notebook library. A-CRNN-model-for-Text-Recognition-in-Keras has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

To understand the algorithm used in the model follow these blogs:.
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            kandi-support Support

              A-CRNN-model-for-Text-Recognition-in-Keras has a low active ecosystem.
              It has 60 star(s) with 33 fork(s). There are 3 watchers for this library.
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              It had no major release in the last 6 months.
              There are 14 open issues and 5 have been closed. On average issues are closed in 25 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of A-CRNN-model-for-Text-Recognition-in-Keras is current.

            kandi-Quality Quality

              A-CRNN-model-for-Text-Recognition-in-Keras has no bugs reported.

            kandi-Security Security

              A-CRNN-model-for-Text-Recognition-in-Keras has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              A-CRNN-model-for-Text-Recognition-in-Keras does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              A-CRNN-model-for-Text-Recognition-in-Keras releases are not available. You will need to build from source code and install.

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            A-CRNN-model-for-Text-Recognition-in-Keras Key Features

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            Install A-CRNN-model-for-Text-Recognition-in-Keras

            You can download it from GitHub.

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