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Theories of Deep Learning
This field has been blessed with exponential empirical success in the form of architectures and algorithms that simply worked through scaling, while the theory lagged behind[1]. Although in the past few years, the “gap“ seems to be diminishing, and we are getting multiple theories for different aspects of deep learning