Keras TensorFlow Digit Recognizer

v1.5

Created by Nicholas Mireles 5/29/2018

This is my basic attempt at creating a deep-learning model for the recognition of hand-written digits from the canonical MNIST dataset.

Everything is hard-coded. This is elegant.

Current Accuracy

Validation: .9917

Test: .9986

Changelog

6/13/2018

• Created a CNN model based on a tutorial by Magnus Pederson (https://www.youtube.com/watch?v=HMcx-zY8JSg)
• Removed the image generator as it reduced performance and speed drastically
• Started a notes file to better track what I learn

5/30/2018

• Changed the activation functions to relu
• Added batch normalization between the layers
• Did zero-centering on training and testing sets before adding to network
• Reduced training epochs to 1, since training/validation loss begin diverging after
  • Maybe train MORE epochs to see if they re-converge?