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MSE stands for Mean Squared Error. It is a measure of the performance of an estimate or prediction, equal to the mean squared difference between the observed values and the estimated / predicted values.

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MSE and different types of activation functions in NN

Lets say I have 3 neurons in the last layer of my neural network and I am using mean squared error as a loss function. The desired output of my neural network is a vector: [false,true,false] If an ac …
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