I try to use Hessian-free optimization to train the deep neural network. The training is based on the MNIST data set.
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Nov 27, 2014 - MATLAB
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second-order-arithmetic
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Final seminar for the Logic for CS class.
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Jun 30, 2022 - TeX
Ph.D. thesis of Jared Corduan - Coloring Posets and Reverse Mathematics
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May 10, 2017 - TeX
How much infinity does physics need? Fekete lemma, c-function IR limits, Cantor scaling exponents and limit-set connectivity are each equivalent to ACA0 over RCA0; computable moduli vs uncomputable limits and the empirical boundary (Paper 10)
python ising-model infinity fractals mathematical-logic second-order-arithmetic conformal-field-theory computability-theory reverse-mathematics foundations-of-physics thermodynamic-limit chaitin-omega computable-analysis
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Oct 7, 2026 - TeX
Second order information based SGD
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Oct 26, 2017 - Python
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