Git Product home page Git Product logo

graphvisualization's Introduction

Graph Visualization using TensorBoard


This is a graph visualization of a simple addition operation using tensorboard.

Status


GitHub license

Download and Installation


To begin using this project, follow the following options to get started:

Usage


Run the File using Jupyter Notebook or from Python

python Tensor-Board-Graph-Visualization .ipnyb

Go to the directory where you have cloned the repository and run the command given below

tensorboard --logdir=./output

A link will appear on the command prompt. Copy the link on the browser and the graph will be visualized on the TensorBoard

alt text

Documentation


You can find this described on my medium post(Comming Soon). https://medium.com/@sulabh4

Contribute


Support


If you are having issues, please let us know. I have a mailing list located at: [email protected]

Copyright and License


Copyright 2018 Codexponent. Code released under the [MIT]license.

graphvisualization's People

Stargazers

 avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.