
Deep Learning Unit-I
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Other
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University
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Practice Problem
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Hard
Dr. Prasad
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35 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is the main goal of a Support Vector Machine (SVM)?
Minimize error
Maximize margin
Minimize variance
Minimize computational cost
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is true about a Perceptron?
It can only solve linearly separable problems
It is equivalent to a Support Vector Machine
It works well with multi-class problems without modification
It does not use an activation function
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In logistic regression, what does the logistic function (sigmoid) do?
Maps values to a range between 0 and 1
Transforms input into linear combinations
Reduces bias in the model
Maximizes the margin between classes
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method is used in SVM to find the optimal hyperplane?
Gradient Descent
Stochastic Gradient Descent
Quadratic Programming
Newton's Method
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the decision boundary in a linear model like Logistic Regression?
A hyperplane
A curve
A random line
A cluster of points
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following loss functions is used for logistic regression?
Mean Squared Error
Cross-Entropy Loss
Hinge Loss
L2 Loss
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the kernel trick in SVMs allow us to do?
Increase the model's complexity
Map the input features into higher-dimensional space
Reduce the training time
Normalize the input features
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