Handwritten number application using the Image Classifier control of the Imaging Whiteboard

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 https://drive.google.com/file/d/1XKSYvJfAW1maNsaiV0iaWZXor0Tbtuat/view?usp=share_link