/MNISTDigitRecognizer

Using Tensorflow to train a CNN on the MNIST dataset and predict handwritten digits

Primary LanguagePython

MNIST Digit Recognizer using Neural Networks

The MNIST dataset comprises 60,000 training examples and 10,000 test examples of the handwritten digits 0–9, formatted as 28x28-pixel monochrome images. Inspired by tensorflow's tutorial for the MNIST dataset, I compare the accuracies of a simple neural network versus a Convolutional Neural Network for recognizing handwritten digits in a figure.

Example Outputs

Scores

Model Accuracy
Simple Neural Network 98.17%
Convolutional Neural Network 98.95%