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How to write chain rule when outputs are vectors

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#matrices #partial-derivative #matrix-calculus #jacobian #neural-networks
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Quantitative approximation by shallow ReLu networks

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#real-analysis #machine-learning #approximation-theory #neural-networks
52
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Searching for Functions Exhibiting Semigroup Property for Energy-Efficient Neuronal Modeling

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#ordinary-differential-equations #neural-networks #semigroup-of-operators
67
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Why is Gradient Descent always chosen for Neural Networks?

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#probability #optimization #machine-learning #gradient-descent #neural-networks
21
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Question about Long Short-term memory neurons in recurrent neural networks

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#neural-networks #artificial-intelligence
57
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Analytical formula for third-order partial derivatives of feed-forward neural networks

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#calculus #linear-algebra #derivatives #machine-learning #neural-networks
20
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Why I can numerically use signatures on rough paths?

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#brownian-motion #neural-networks
38
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Complex valued neural networks vs 2 channel real imaginary real-valued networks

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#complex-numbers #neural-networks
91
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Recurrent neural networks stability

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#dynamical-systems #neural-networks
85
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Calculating the derivatives in a linear layer in NN

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#vector-analysis #neural-networks #derivations
50
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What am I misunderstanding in a paper using the Abel's functional equation?

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#functional-equations #neural-networks
98
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Can MLPs represent functions exactly for finite inputs?

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#machine-learning #approximation-theory #neural-networks
99
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Cut the circles in a way that would be similar to already cut circles.

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#geometry #analysis #neural-networks
51
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Manually setting up integral weights of a 2-2-2 neural network.

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#calculus #linear-algebra #machine-learning #neural-networks #artificial-intelligence
53
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Stochastic/sequential gradient descent for the perceptron

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#multivariable-calculus #machine-learning #gradient-descent #neural-networks

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