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 of the following neural network training challenge can be solved using batch normalization?
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Overfitting
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Restrict activations to become too high or low
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Training is too slow
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All the mentioned
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Explanation:
Detailed explanation-1: -(ii) True. We are normalizing the input to each layer with batch normalization, so it certainly helps with lessening the coupling between layers and makes the learning process more independent.
Detailed explanation-2: -Using batch normalization allows us to use much higher learning rates, which further increases the speed at which networks train. Makes weights easier to initialize-Weight initialization can be difficult, and it’s even more difficult when creating deeper networks.
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