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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

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Neural Network Linear Activation Functions [duplicate]

.$ But then since our model looks like $w_{11}^{[2]}w_1^{[1]}x+w_{11}^{[2]}b_1 + w_{12}^{[2]}w_2^{[1]}x+w_{12}^{[2]}b_2,$ why do we not consider this a nonlinear regression, since the model is now nonlinear …
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