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A "Loss Function" (e.g., Mean Squared Error) measures:

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A "Loss Function" (e.g., Mean Squared Error) measures:

The number of neurons

The difference between the predicted output and the actual target

100%

The probability of the weights

The rate of learning

The complexity of the input

The speed of the network

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