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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
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Can we have an explicit representation of inverse of a softmax function?
As we know, logit is the inverse of logistic function in case of binary classification. … Similar to this, I am willing to derive results for multinomial classification, for that I need to get an explicit representation of the inverse of a softmax function. …
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Can we perform any machine learning modelling by using Neural Network?
I am trying to understand the powerful modelling capacity of neural network. As we know
Logistic regression can be performed by using neural network with single output node, no hidden layer and logis …