Kane Hadley: Chinese Character Assisted Learning
Daniel Goodwin: Exploring diversity of task and data in artificial neural networks
Ben Berman: Augmented Reality Deep Dream
Colin McDonnell: Definition Learning
Archana Ram: Visual Abstraction as a Means of Image Category Generalization and Recognition Under Partial Occlusion
Kenny Friedman: Escaping the Local Minimum Final Project Rationale
Michael Chang: Learning Predictive Models of Physics
Keeley Erhardt: An attempt at understanding the differences between the representations used by deep convolutional neural nets and those used by humans
Eric Chu: Grid LSTM