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Neural networks achieve super-fast convergence and represent complex functions with floating-point arithmetic

Two new arXiv papers explore theoretical aspects of neural network convergence and representation capabilities. The first paper demonstrates that neural network classifiers can achieve super-fast convergence rates under…