APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which best represents the reparameterisation trick?
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None of the above You cannot backprop through a stochastic node. The reparamaterisation trick allows you to emulate sampling from a distribution however keeping the main computational graph (
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Explanation:
Detailed explanation-1: -You can predict the output values by multiplying each column of the input with the appropriate weight, summing the results, and adding the intercept to the sum. That’s the prediction using a linear regression model.
Detailed explanation-2: -Linear regressions can be used in business to evaluate trends and make estimates or forecasts. For example, if a company’s sales have increased steadily every month for the past few years, by conducting a linear analysis on the sales data with monthly sales, the company could forecast sales in future months.
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