Explain "gradient descent" and what it does in a neural network algorithm.
Correct Answer:
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Q2: Neural networks may be represented by an
Q3: Unlike linear regression, neural networks can handle
Q4: It is impossible to assess the relative
Q5: Cross-validation of a neural network (or other)
Q6: What is UNTRUE of hidden layers of
Q8: What makes a neural network model "supervised"?
A)
Q9: Which is possible with the "caret" package?
A)
Q10: Which package supports the Olden method of
Q11: What was a "violin plot" used for
Q12: Neural networks may achieve better results if
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