MNIST Explorer
Prediction:
Unsure
Confidence: 36.9%
Confidence: 36.9%
Model Output:
0=0.04 1=0.05 2=0.07 3=0.07 4=0.10 5=0.37 6=0.06 7=0.10 8=0.07 9=0.07
Draw a digit and see a simple MNIST classifier network process it in
real-time.
The model features a 28x28 input array, and two dense layers (128 and 10)
This model was trained on the classic MNIST dataset. The model mis-predicts
sometimes on our canvas, since we have done no further transfer learning, however
this is intended.
This project was completed in two weeks during June 2021 as an exploration into team dynamics.
SvelteJS, p5.js, TensorFlow/Keras, tf.js, deployed on Netlify