Highly commended paper awarded to undergraduate student

The Undergraduate Awards logo

Jack Deadman, a fourth year computer science student, was among 19 students from the University of Sheffield who were included in the Highly Commended Entrants at The Undergraduate Awards, 2017.

This year The Undergraduate Awards received 6472 papers to the programme. Academics from around the globe assess the work received and through a rigorous judging process find the best, most innovative, and creative undergraduate coursework. Just the top 10% of papers in each of the 25 categories are Highly Commended

Jack’s report titled 'PCA and Competitive learning' explores how various techniques could be used to reduce the number of dead units in a neural network. By reducing the number of dead units, you are optimising the number of neurons in the network that contribute to the output. The impact of this means that neural networks can make better use of the data they are trained on. The report highlights how the techniques improve a simple clustering algorithm for grouping different handwritten letters.