Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Dropout

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Information Technology (IT), Architecture
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Hard
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5 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is overfitting in the context of machine learning?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the complexity of a model relate to the number of parameters?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the purpose of using dropout in neural networks?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain how dropout can be viewed as a form of ensemble learning.
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the implications of training different models in each iteration of stochastic gradient descent?
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