Training and Understanding Deep Neural Networks for Robotics, Design, and Perception. Jason Yosinskis Ph D thesis defense

SLIDES HERE: PhD Thesis Defense. Cornell, April 2016. Title: Training and Understanding Deep Neural Networks for Robotics, Design, and Perception. Abstract: Artificial Neural Networks (neural nets) are a powerful class of models with both theoretical and practical advantages for many problems of interest. Networks with more than one hidden layer ( deep neural nets) compute multiple functions on later layers that share the use of intermediate results computed on