Tensorflow_Convolutional-Network-MNIST | Digit Recognizer Kaggle challenge solution with CNN

 by   aelnouby Python Version: Current License: No License

kandi X-RAY | Tensorflow_Convolutional-Network-MNIST Summary

kandi X-RAY | Tensorflow_Convolutional-Network-MNIST Summary

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

Digit Recognizer Kaggle challenge solution with CNN using tensorflow
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              Tensorflow_Convolutional-Network-MNIST has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              Tensorflow_Convolutional-Network-MNIST has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Tensorflow_Convolutional-Network-MNIST is current.

            kandi-Quality Quality

              Tensorflow_Convolutional-Network-MNIST has no bugs reported.

            kandi-Security Security

              Tensorflow_Convolutional-Network-MNIST has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Tensorflow_Convolutional-Network-MNIST 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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              Tensorflow_Convolutional-Network-MNIST releases are not available. You will need to build from source code and install.
              Tensorflow_Convolutional-Network-MNIST has no build file. You will be need to create the build yourself to build the component from source.

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            Tensorflow_Convolutional-Network-MNIST Key Features

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            Tensorflow_Convolutional-Network-MNIST Examples and Code Snippets

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            Vulnerabilities

            No vulnerabilities reported

            Install Tensorflow_Convolutional-Network-MNIST

            You can download it from GitHub.
            You can use Tensorflow_Convolutional-Network-MNIST 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.

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          • HTTPS

            https://github.com/aelnouby/Tensorflow_Convolutional-Network-MNIST.git

          • CLI

            gh repo clone aelnouby/Tensorflow_Convolutional-Network-MNIST

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            git@github.com:aelnouby/Tensorflow_Convolutional-Network-MNIST.git

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