mnist-code-quality | * Here is a Brazilian Portuguese version

 by   andreclaudino Python Version: Current License: No License

kandi X-RAY | mnist-code-quality Summary

kandi X-RAY | mnist-code-quality Summary

mnist-code-quality is a Python library. mnist-code-quality has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

* Here is a Brazilian Portuguese version. * Há uma versão em Português Brasileiro neste link. This is a Tensorflow implementation of a solution for the MNIST problem written according to code quality principles. The problem itself is fairly easy, and can be resolved with simple solutions. The idea here is show how to organize an ML training and validation application in such a way that it is easily refactorable and organized by responsibilities.
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    Quality
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            kandi-support Support

              mnist-code-quality has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              mnist-code-quality has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mnist-code-quality is current.

            kandi-Quality Quality

              mnist-code-quality has no bugs reported.

            kandi-Security Security

              mnist-code-quality has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              mnist-code-quality does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              mnist-code-quality releases are not available. You will need to build from source code and install.
              Build file is available. You can 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 mnist-code-quality and discovered the below as its top functions. This is intended to give you an instant insight into mnist-code-quality implemented functionality, and help decide if they suit your requirements.
            • Run training loop
            • Runs a single training step
            • Write metrics to file
            • Saves a checkpoint
            • Save the model to disk
            • Compute the accuracy between two arrays
            • Compute the loss function
            • Train the model
            • Create a checkpoint manager
            • Load grayscale images
            • Create a loader function to load the image
            • Scale image
            • Create a Keras model
            • Creates a keras layer
            • Run validation loop
            • Run a single prediction step
            • Saves the model to disk
            • Parse layer sizes
            • The image width
            • The image height
            Get all kandi verified functions for this library.

            mnist-code-quality Key Features

            No Key Features are available at this moment for mnist-code-quality.

            mnist-code-quality Examples and Code Snippets

            Command line QR Code
            pypidot img1Lines of Code : 4dot img1no licencesLicense : No License
            copy iconCopy
            itchat.auto_login(enableCmdQR=True)
            
            
            # for some linux system, width of block character is one instead of two, so enableCmdQR should be 2
            itchat.auto_login(enableCmdQR=2)
            
            
            itchat.auto_login(enableCmdQR=-1)
            
              
            Generates a QR Code image for the given barcode text .
            javadot img2Lines of Code : 9dot img2License : Permissive (MIT License)
            copy iconCopy
            public static BufferedImage generateQRCodeImage(String barcodeText) throws Exception {
                    ByteArrayOutputStream stream = QRCode
                            .from(barcodeText)
                            .withSize(250, 250)
                            .stream();
                    ByteArrayIn  
            Generates an image of a QR Code
            javadot img3Lines of Code : 6dot img3License : Permissive (MIT License)
            copy iconCopy
            public static BufferedImage generateQRCodeImage(String barcodeText) throws Exception {
                    QRCodeWriter barcodeWriter = new QRCodeWriter();
                    BitMatrix bitMatrix = barcodeWriter.encode(barcodeText, BarcodeFormat.QR_CODE, 200, 200);
            
                     
            Generate a QR Code
            javadot img4Lines of Code : 4dot img4License : Permissive (MIT License)
            copy iconCopy
            @PostMapping(value = "/qrgen/qrcode", produces = MediaType.IMAGE_PNG_VALUE)
                public ResponseEntity qrgenQRCode(@RequestBody String barcode) throws Exception {
                    return okResponse(QRGenBarcodeGenerator.generateQRCodeImage(barcode));
                }  

            Community Discussions

            No Community Discussions are available at this moment for mnist-code-quality.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install mnist-code-quality

            You can download it from GitHub.
            You can use mnist-code-quality 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

            https://github.com/andreclaudino/mnist-code-quality.git

          • CLI

            gh repo clone andreclaudino/mnist-code-quality

          • sshUrl

            git@github.com:andreclaudino/mnist-code-quality.git

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