APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What steps can we take to prevent overfitting in a Neural Network?
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Data Augmentation
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Early Stopping
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Dropout
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Regularization
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All the mentioned
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Explanation:
Detailed explanation-1: -Simplifying The Model. The first step when dealing with overfitting is to decrease the complexity of the model. Early Stopping. Use Data Augmentation. Use Regularization. Use Dropouts. 06-Dec-2019
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