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Friday, May 29, 2015

Training and Understanding Deep Neural Networks for Robotics, Design, and Perception

Seminar | May 29 | 11 a.m.-12:30 p.m. | 560 Evans Hall

Jason Yosinski, Cornell University

Neuroscience Institute, Helen Wills

Artificial Neural Networks (ANNs) form a powerful class of models with both theoretical and practical advantages. Networks with more than one hidden layer ("deep" neural networks) compute multiple functions on later layers that share the use of intermediate results computed on earlier layers. This compositional, hierarchical structure provides a strong bias, or regularization, toward solutions...   More >