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15
722
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Plot the decision boundary for Bayes

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#machine-learning #naive-bayes
18
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Analytic solution for $x = \frac{n}{1 + e^{-ax + t}}$ i.e. When is the output of a parametrised logistic function equal to the input?

Published on
#machine-learning
65
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Why scaling down the parameter many times during training will help the learning speed be the same for all weights in Progressive GAN?

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#matrices #normal-distribution #machine-learning #gradient-descent #python
32
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VC-Dimension Combination of Restructions

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#functional-analysis #metric-spaces #computational-complexity #machine-learning
344
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Reference Request: Machine Learning from Scratch

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#reference-request #computer-science #book-recommendation #machine-learning
94
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Prove Regarding Sigmoid Function and Softmax Function

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#probability #machine-learning #maximum-likelihood
56
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Loss Function for $l_0$ norm

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#self-learning #machine-learning #linear-regression
60
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How can one show that $argmin_{a,b}\:\left\{\:\sum \:\left|y-\left(a+bx\right)\right|\right\}$ can lack a unique solution

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#optimization #maxima-minima #absolute-value #machine-learning #regression
68
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$\lim\limits_{m, l\to\infty} \frac{m+a}{m+a+l+b}$ where $m + l = N$

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#algebra-precalculus #limits #machine-learning #bayesian
72
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Using a poset or directed graph as input for a neural network.

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#dynamical-systems #order-theory #machine-learning #neural-networks #directed-graphs
420
Views

Application of chain rule, and some recursion

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#real-analysis #calculus #linear-algebra #statistics #machine-learning
701
Views

Application of the chain rule to $3$-layers neural network

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#real-analysis #statistics #multivariable-calculus #machine-learning #neural-networks
182
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Convergence analysis of Optimisation algorithms using Regret Bound.

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#convergence-divergence #convex-optimization #machine-learning
267
Views

calculating distance between two distributions from samples of different size

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#probability-distributions #statistical-inference #machine-learning #gaussian
510
Views

Maximum number of weights in a neural network

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#optimization #machine-learning #neural-networks

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