Collaboration and Knowledge Transfer

Foundations of Deep Learning

The impact of deep neural networks in numerous application areas of science, engineering, and technology has never been higher than right now.

Still, progress in practical applications of deep learning has considerably outpaced our understanding of its foundations. Many fundamental questions remain unanswered. Why are we able to train neural networks so efficiently? Why do they perform so well on unseen data? Is there any benefit of one network architecture over another?

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