Keras_cnn_sample | Keras_cnn_sample

 by   hirasaki1985 Python Version: Current License: MIT

kandi X-RAY | Keras_cnn_sample Summary

kandi X-RAY | Keras_cnn_sample Summary

Keras_cnn_sample is a Python library. Keras_cnn_sample has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Keras_cnn_sample build file is not available. You can download it from GitHub.

Keras_cnn_sample
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            kandi-support Support

              Keras_cnn_sample has a low active ecosystem.
              It has 3 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Keras_cnn_sample has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Keras_cnn_sample is current.

            kandi-Quality Quality

              Keras_cnn_sample has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              Keras_cnn_sample is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Keras_cnn_sample releases are not available. You will need to build from source code and install.
              Keras_cnn_sample has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Keras_cnn_sample and discovered the below as its top functions. This is intended to give you an instant insight into Keras_cnn_sample implemented functionality, and help decide if they suit your requirements.
            • Entry point .
            • Creates the initial model .
            • Preprocess the images
            • Creates the labels .
            • Fits the given model using the given settings .
            • Make a prediction on the given model .
            Get all kandi verified functions for this library.

            Keras_cnn_sample Key Features

            No Key Features are available at this moment for Keras_cnn_sample.

            Keras_cnn_sample Examples and Code Snippets

            No Code Snippets are available at this moment for Keras_cnn_sample.

            Community Discussions

            No Community Discussions are available at this moment for Keras_cnn_sample.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install Keras_cnn_sample

            You can download it from GitHub.
            You can use Keras_cnn_sample 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.

            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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            https://github.com/hirasaki1985/Keras_cnn_sample.git

          • CLI

            gh repo clone hirasaki1985/Keras_cnn_sample

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            git@github.com:hirasaki1985/Keras_cnn_sample.git

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