MNIST App

A personal project that applies machine learning proficiency. The app allows users to draw a number on the phone, and using the raw pixels of this drawing as input, the model predicts with high accuracy what the number is.

The project involved:

+ Using the existing MNIST dataset.
+ Applying data augmentation techniques to increase dataset.
+ Developing, training, debugging, and optimizing multiple deep learning models.
+ Deploying the best model to TensorFlow mobile.
+ Developing a backend web API that collects users usage of the app to continue to train the model.
+ Over 20,000 observations have been collected to date from users interacting with the app.

Tools used:

+ TensorFlow
+ Python
+ Apache
+ Node.js
+ Express
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4.9
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What's New

Reclassify digits via app links
Minor bug fixes
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Additional Information

Updated
November 3, 2017
Size
Varies with device
Installs
500+
Current Version
Varies with device
Requires Android
4.0.3 and up
Content Rating
Everyone
Permissions
Offered By
Formigone
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