tensorflow-tutorial | Code for email classification in TensorFlow | Machine Learning library

 by   JRMeyer Python Version: Current License: MIT

kandi X-RAY | tensorflow-tutorial Summary

kandi X-RAY | tensorflow-tutorial Summary

tensorflow-tutorial is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. tensorflow-tutorial has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Code for email classification in TensorFlow.
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              tensorflow-tutorial has a low active ecosystem.
              It has 51 star(s) with 27 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 1 have been closed. On average issues are closed in 244 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tensorflow-tutorial is current.

            kandi-Quality Quality

              tensorflow-tutorial has 0 bugs and 0 code smells.

            kandi-Security Security

              tensorflow-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tensorflow-tutorial code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tensorflow-tutorial 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

              tensorflow-tutorial 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.
              tensorflow-tutorial saves you 139 person hours of effort in developing the same functionality from scratch.
              It has 347 lines of code, 17 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tensorflow-tutorial and discovered the below as its top functions. This is intended to give you an instant insight into tensorflow-tutorial implemented functionality, and help decide if they suit your requirements.
            • Generate training data
            • Extracts a feature matrix from a list of files
            • Create a bag of words from input files
            • Regularizes a feature matrix
            • Generate input data
            • Gets the feature matrix from a list of files
            • Create a bag of words from file paths
            • Performs regularization of feature matrix
            • Import training data
            • Convert a CSV file to a numpy array
            • Parse command line arguments
            • Predict for the given features
            • Convert label to ham format
            Get all kandi verified functions for this library.

            tensorflow-tutorial Key Features

            No Key Features are available at this moment for tensorflow-tutorial.

            tensorflow-tutorial Examples and Code Snippets

            No Code Snippets are available at this moment for tensorflow-tutorial.

            Community Discussions

            QUESTION

            "Illegal instruction (core dumped)" on tensorflow >1.6
            Asked 2020-Sep-22 at 13:31

            I am trying to run import tensorflow on various tensorflow version. The one that I really want to use is 1.13.1.

            My CPU is INTEL Xeon Scalable GOLD 6126 - 12 Cores (24 Threads) 2.60GHz.

            I've already searched for this error on the internet* and most of the time the work-around is to downgrade tensorflow to older versions (typically I tried 1.5.1 and it worked). Sometimes it's just unresolved**.

            But it is possible to really solve the issue?

            Here are my output for various versions of tensorflow.

            1.13.1

            ...

            ANSWER

            Answered 2020-Sep-22 at 13:31

            I manage to find a solution.

            In my case, the virtual machines are managed by PROXMOX. I had to add the following line in the VM configuration file:

            Source https://stackoverflow.com/questions/63958388

            QUESTION

            Unable to clone repository while connected to VPN. SSL: certificate subject name does not match target host name 'github.com'
            Asked 2020-Apr-12 at 13:44

            I am trying to clone a git repository on a remote system connected via ssh. I need to connect to the VPN in order to ssh to the local machine of my organization.

            I am trying to clone this git repository but I am getting SSL error,

            ...

            ANSWER

            Answered 2020-Apr-12 at 13:44

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

            Vulnerabilities

            No vulnerabilities reported

            Install tensorflow-tutorial

            You can download it from GitHub.
            You can use tensorflow-tutorial 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/JRMeyer/tensorflow-tutorial.git

          • CLI

            gh repo clone JRMeyer/tensorflow-tutorial

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            git@github.com:JRMeyer/tensorflow-tutorial.git

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