My name is Nathan Dammerich and I
am a junior
studying Computer Science at the University of Dayton.
Throughout college I've challenged myself
to learn more outside of the classroom.
Come check out some projects I've completed!
This Multi-Layer Perceptron Neural Network was written from scratch using NumPy. After testing, I decided to go with an architecture consisting of three hidden layers. The first and second layers each have 64 neuron while the third layer has 10 neurons. While testing on the MNIST test data set, this model achieved an accuracy of about 99.95%. Try it out for yourself! Draw a digit 0-9 and click submit.
 
 
This project is hosted on GitHub pages to showcase my knowledge of git.
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