Experiments on the generalization and learning dynamics of deep neural networks

Abstract

In the recent few years, deep learning has had great successes in many applications such as image recognition. However, theory seems to lag behind application in this field, and one goal has been to provide principles and solve puzzles. Some goals during this thesis work were to develop new software tools for deep learning researchers, run experiments related to the research of CBMM (Center for Brains, Minds, and Machines), and create graphs for papers published by CBMM.