noteJ

noteJ

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Nearest Neighbor Classifier Pre-processing discretization MLP calculation Numeric underflow Automated Test Naïve Bayes classifier association rules LVQ pre processing feature subset selection stratified sampling multiple classification Apriori algorithm Curse of dimensionality zero count Dimensionality Reduction feature creation variable transformation data-mining

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Softmax(1)

  • What is Softmax? And why the softmax function is suitable for multiple classification but not regression?

    Softmax is a mathematical function that is often used in machine learning and deep learning models to convert a set of input values into a set of output probabilities that sum to one. The softmax function is applied to a vector of real numbers, typically the output of a neural network, and produces a probability distribution over the different possible classes or categories. The softmax function..

    2023.02.27
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