Which of the following statements are usually true about the Learning rate in Neural Networks? (1) It may be defined as a factor that decides the amount by which the weights are updated. (2) If the learning rate is set too low, then the weight changes may be so big that the optimization may overshoot the minima and increase the error. (3) If the learning rate is set too high, training will progress very slowly as very tiny updates are made to the weights in the network. All the statements are true (2) & (3) (1) & (2) Only (1)

Which of the following statements are usually true about the Learning rate in Neural Networks? (1) It may be defined as a factor that decides the amount by which the weights are updated. (2) If the learning rate is set too low, then the weight changes may be so big that the optimization may overshoot the minima and increase the error. (3) If the learning rate is set too high, training will progress very slowly as very tiny updates are made to the weights in the network. All the statements are true (2) & (3) (1) & (2) Only (1)

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