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Are inner products functions and in the context of neural network input inner products, it is actually many inner products?

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#functions #inner-products #machine-learning #neural-networks
82
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identity activation functions

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#machine-learning #neural-networks
75
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Proof of Stability of parabolic-like Convolutional Residual Neural Networks

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#proof-explanation #stability-in-odes #neural-networks #stability-theory
204
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Eigenvalues are the principal axis for m-dimensional paraboloid?

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#linear-algebra #geometry #eigenvalues-eigenvectors #neural-networks
315
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In Wikipedia's Statement of The Universal Approximation Theorem, is it taking identity activation on the output layer with no bias?

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#neural-networks
91
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How to correctly backpropagate in neural networks?

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#calculus #multivariable-calculus #machine-learning #gradient-descent #neural-networks
77
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What would be the dimensions of on output matrix for the convolution of a $6\times 6\times 3$ input image and a $3\times3\times3$ kernel?

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#linear-algebra #machine-learning #convolution #neural-networks
70
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How to predict a function with a neural network

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#nonlinear-optimization #machine-learning #regression #neural-networks #regression-analysis
26
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Most efficient way of determining best output from pairwise neural network

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#optimization #algorithms #neural-networks
190
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Find if a random variable is a proxy variable using neural networks

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#probability #graph-theory #random-variables #neural-networks #causality
37
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Confusion in this step of backpropagation derivation

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#summation #partial-derivative #neural-networks
15
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Formalizing the description of a Neural Network that takes some input and maps it to a Euclidean embedding which is optimized for class separation

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#neural-networks #descriptive-statistics #clustering
25
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What are evaluation metrics for regression-type neural net?

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#machine-learning #regression #neural-networks #error-function #mean-square-error
42
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Why is numerical differentiation of neural network has a scaling of big O(w^2)?

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#machine-learning #neural-networks
174
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Why is computing the "gradient" considered to be going "backwards" in time?

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#sequences-and-series #machine-learning #recursion #gradient-descent #neural-networks

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