APPLICATION OF SUPERVISED LEARNING
GRADIENT DESCENT
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Learning rate is an hyper parameter in Gradient Descent used to update the parameters in the optimisation problem
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TRUE
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FALSE
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -Specifically, the learning rate is a configurable hyperparameter used in the training of neural networks that has a small positive value, often in the range between 0.0 and 1.0.
Detailed explanation-2: -Learning rate is used to scale the magnitude of parameter updates during gradient descent. The choice of the value for learning rate can impact two things: 1) how fast the algorithm learns and 2) whether the cost function is minimized or not.
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