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tensorflow-mnist

sugyan/tensorflow-mnist on GitHub: Python, Tutorials, Getting started.

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Created 2015-11-19 · Updated 2026-09-29 · #12826 today
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sugyan/tensorflow-mnist is ranked 12,826 with 896 stars.

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sugyan/tensorflow-mnist is ranked 12,826 among these 8 peers; nitishsrivastava/deepnet is ranked 12,825.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryTutorials
SubcategoryGetting started
Stars896
Forks393
Contributors1
Created date2015-11-19
Updated date2026-09-29
Stars in 1 day0
Stars in 7 days0
Rank12,826
Previous rank12,725
Rank change-101
7-day stars rank13,622
Previous 7-day stars rank13,637
7-day stars rank change15
Total stars rank12,139
Previous total stars rank12,117
Total stars rank change-22
CountryJapan
Frequently asked questions

How many stars and forks are recorded?

sugyan/tensorflow-mnist has 896 stars and 393 forks.

What is the repository rank?

sugyan/tensorflow-mnist is ranked 12,826.

What language and category are recorded?

sugyan/tensorflow-mnist has 896 stars, uses Python and belongs to Tutorials.

Which repository is closest in rank?

sugyan/tensorflow-mnist is compared with nitishsrivastava/deepnet, ranked 12,825 with 896 stars.

README

MNIST classification by TensorFlow

Requirement

  • Python >=2.7 or >=3.4
    • TensorFlow >=1.0
  • Node >=6.9

How to run

$ pip install -r requirements.txt
$ npm install
$ gunicorn main:app --log-file=-

Deploy to Heroku

$ heroku apps:create [NAME]
$ heroku buildpacks:add heroku/nodejs
$ heroku buildpacks:add heroku/python
$ git push heroku master

or Heroku Button.

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