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Finding correlation between function input and output

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#statistics #neural-networks
207
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Adjusting the Weight Matrix in gradient Descent backpropagation through neural networks

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#machine-learning #neural-networks
65
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Stock prediction

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#regression #time-series #neural-networks
198
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If a neural network is a function f that maps x to y, how can I formally define a neural network with multiple outputs?

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#definition #machine-learning #neural-networks
148
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Chain rule anomaly when applied to the backpropagation algorithm for neural networks?

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#calculus #chain-rule #neural-networks
68
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Understanding this derivation of back propagation

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#linear-algebra #numerical-methods #neural-networks #numerical-calculus
283
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From derivatives to gradients in backpropagation

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#derivatives #matrix-calculus #chain-rule #neural-networks
272
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Gradient matrix of loss function for single hidden layer neural network

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#partial-derivative #matrix-equations #gradient-descent #neural-networks
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What is the formal definition for a neural network and do you have any good sources to read?

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#definition #online-resources #neural-networks
201
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How to connect the gradient $dJ/W_i$ to $dJ/dW_{i-1}$

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#calculus #linear-algebra #multivariable-calculus #machine-learning #neural-networks
99
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If a neural network is a function f that maps x to y then is it correct to say that $f:R^x \rightarrow R^y$?

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#vector-spaces #real-numbers #machine-learning #neural-networks
18.7k
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Derivative of Mean Squared Error

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#calculus #machine-learning #linear-regression #neural-networks
527
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Relation between discrete time and continuous time recurrent neural network dynamical system

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#dynamical-systems #neural-networks
145
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What are the foundational papers of neural networks and how can I find them?

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#reference-request #neural-networks #research
236
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Derivatives of ODE trajectories w.r.t function values at specific time points - definitions in the neural ODEs paper

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#ordinary-differential-equations #numerical-methods #neural-networks

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