APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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function describes how computationally expensive is a neural network
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an algorithm used to find the minimum of a function
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different name for activation function
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a way to determine how well the machine learning model has performed given the different values of each parameter
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Detailed explanation-1: -In ML, cost functions are used to estimate how badly models are performing. Put simply, a cost function is a measure of how wrong the model is in terms of its ability to estimate the relationship between X and y. This is typically expressed as a difference or distance between the predicted value and the actual value.
Detailed explanation-2: -Cost Function It is a function that measures the performance of a Machine Learning model for given data. Cost Function quantifies the error between predicted values and expected values and presents it in the form of a single real number. Depending on the problem Cost Function can be formed in many different ways.
Detailed explanation-3: -In data science, the cost function calculates the difference between your model predictions and your data set. According to Wikipedia a cost 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-4: -Cost function measures the performance of a machine learning model for given data. Cost function quantifies the error between predicted and expected values and present that error in the form of a single real number. Depending on the problem, cost function can be formed in many different ways.