This project is a neural network I built from scratch to recognize handwritten digits (0-9) from the MNIST dataset. It can correctly identify about 85% of the digits in the test data! I used only ...

When you think about how a neural network can beat a Go champion or otherwise accomplish tasks that would be impractical for most computers, it's tempting to attribute the success to math. Surely it's ...

Lecture notes for Professor Nicole Looper's MATH 1560: Number Theory at Brown University for the Spring 2022 semester. Professor Looper's MATH 1560 was primarily split into two halves.: The first half ...

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Abstract: In recent years, graph neural networks have been widely used in solving math word problems. However, previous researches are still not deep enough to mine numerical values in text. Therefore ...