Mathematical Perspective of Machine Learning

07/03/2020

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by   Yarema Boryshchak, et al.

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We take a closer look at some theoretical challenges of Machine Learning as a function approximation, gradient descent as the default optimization algorithm, limitations of fixed length and width networks and a different approach to RNNs from a mathematical perspective.