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

License: GNU General Public License v3.0

Python 41.88% Jupyter Notebook 21.69% JavaScript 9.78% CSS 15.62% HTML 11.02%

how_to_deploy_a_keras_model_to_production's Introduction

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.

how_to_deploy_a_keras_model_to_production's People

Contributors

llsourcell avatar aaditya1004 avatar

Watchers

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