Skip to content

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

License

Notifications You must be signed in to change notification settings

royzel/how_to_deploy_a_keras_model_to_production

 
 

Repository files navigation

How to Deploy a Keras Model to Production

Overview

This is the code for this video on Youtube by Siraj Raval. We're going to build a model that recognizes handwritten digit images (MNIST). Developed using TensorFlow and the super simple Keras Library. Wrapped into a Webapp using Flask Micro Framework.

Dependencies

sudo pip install -r requirements.txt

Usage

Once dependencies are installed, just run this to see it in your browser.

python app.py

That's it! It's serving a saved Keras model to you via Flask.

Credits

The credits for this code go to moinudeen. I've merely created a wrapper to get people started.

About

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 44.2%
  • Jupyter Notebook 20.8%
  • CSS 15.0%
  • HTML 10.6%
  • JavaScript 9.4%