https://github.com/awadalaa/mnist_demo
learning how to apply inference in a webapp
https://github.com/awadalaa/mnist_demo
flask mnist tensorflow
Last synced: 5 months ago
JSON representation
learning how to apply inference in a webapp
- Host: GitHub
- URL: https://github.com/awadalaa/mnist_demo
- Owner: awadalaa
- Created: 2017-10-18T03:58:39.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-11-18T22:18:06.000Z (over 8 years ago)
- Last Synced: 2025-09-09T13:09:34.605Z (10 months ago)
- Topics: flask, mnist, tensorflow
- Language: Python
- Homepage: https://mnistdemo.herokuapp.com
- Size: 47.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# MNIST digit recognition demo
## Introduction
1. How to export a model and have a simple self-sufficient file for it
2. How to build a simple python server (using flask) to serve a TensorFlow model
## Installation
Clone the respository:
`git clone https://github.com//mnist_demo.git`
## Install Dependencies such as virtualenv, flask, and tensorflow
`pip install -r requirements.txt`
`virtualenv env`
`source env/bin/activate`
## Start the server
`gunicorn app:app --log-file=-`