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Gradient Descent: transforming error surface from elliptical to circular

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#optimization #convex-optimization #neural-networks #gradient-descent
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Neural networks - function approximation

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#approximation #neural-networks
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Trying to understand the math behind backpropagation in neural nets

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#functions #partial-derivative #neural-networks #gradient-descent
211
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Error in usage of chain rule

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#partial-derivative #chain-rule #neural-networks
66
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How to solve this partial derivative equation ?

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#derivatives #vectors #partial-derivative #neural-networks
167
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Am I really going to be trapped in saddle point?

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#maxima-minima #neural-networks #gradient-descent #non-convex-optimization
452
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where is the kernel size and stride specified in convolution?

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#summation #convolution #neural-networks
90
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How do statistical dependent inputs affect a multilayer perceptron neural network?

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#machine-learning #neural-networks
156
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Gradient of constrained sum

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#optimization #machine-learning #neural-networks #gradient-descent
606
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Derivative of softmax function in neural network

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#neural-networks
94
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Question about derivations of "CS231N Backpropagation gradient"

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#matrices #vector-analysis #neural-networks
431
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Parameterized families of functions, other than neural networks, that are useful for machine learning

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#machine-learning #neural-networks
1.3k
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Derivative where the variable is a matrix

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#matrices #derivatives #partial-derivative #machine-learning #neural-networks
504
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Log-Likelihook and Softmax

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#machine-learning #neural-networks #log-likelihood
76
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neural network resolving problem

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#neural-networks

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