APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Perceptron function
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Actual function
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Output function
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Loss function
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Detailed explanation-1: -A loss function (error function) is used, which reflects the error between the target output and actual output of the perceptron.
Detailed explanation-2: -In mathematical optimization and decision theory, a loss function or cost function (sometimes also called an error function) is a function that maps an event or values of one or more variables onto a real number intuitively representing some “cost” associated with the event.
Detailed explanation-3: -The Mean Squared Error (MSE) is perhaps the simplest and most common loss function, often taught in introductory Machine Learning courses. To calculate the MSE, you take the difference between your model’s predictions and the ground truth, square it, and average it out across the whole dataset.