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cs.LG2018
Estimating Information Flow in Deep Neural Networks
Ziv Goldfeld, Ewout van den Berg, Kristjan Greenewald +4
We study the flow of information and the evolution of internal representations during deep neural network (DNN) training, aiming to demystify the compression aspect of the informat…
cs.LG2016
Training variance and performance evaluation of neural networks in speech
Ewout van den Berg, Bhuvana Ramabhadran, Michael Picheny
In this work we study variance in the results of neural network training on a wide variety of configurations in automatic speech recognition. Although this variance itself is well…
cs.LG2016
Some Insights into the Geometry and Training of Neural Networks
Ewout van den Berg
Neural networks have been successfully used for classification tasks in a rapidly growing number of practical applications. Despite their popularity and widespread use, there are s…