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How to train a multilayer perceptron for regression
Training a multilayer perceptron means to calculate (or to learn) values of the weights w and v of its two layers so that the difference between the prediction of the perceptron on our training datapoints and their real labels is minimized. So we have a training set with the labels being real numbers and the training/learning strategy will be ...
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