Fundamentals of Neural Networks - Backward Propagation

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Information Technology (IT), Architecture, Mathematics
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University
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Hard
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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the purpose of backward propagation in neural networks?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the concept of the loss function in the context of backward propagation.
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the mean square error relate to the loss function?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
How does backward propagation relate to the conventional sense of statistical learning?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What steps are involved in optimizing the loss function during backward propagation?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of the learning rate (ETA) in gradient descent?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the potential issues that can arise from having a very small or very large learning rate.
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