Convolutional Neural Net

Using the MNIST database of handwritten digits MNIST database – Wikipedia a convolutional neural network was trained to an accuracy of 90%. This took 50 epochs.

The trained model was loaded into the Image Classifier control and used to identify handwritten digits.

The files required to reproduce this demo are available here