A neural network trained to recognized handwritten numbers. This was built using PyTorch, and trained on the MNIST handwritten digit database.
See the Jupyter notebook here: mnist_mlp_handwriting_exercise.ipynb.
This network achieved a test accuracy of 98%.
This exercise was part of the Udacity Deep Learning / ML nanodegree.