Which of the following is FALSE about Batch Normalization?
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31%
It may lead to overfitting
20%
It solves dying ReLU problem
22%
It introduces regularization in the network
27%
It solves vanishing and exploding gradient issues
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In following type of feature selection method we start with empty feature set
Anonymous Quiz
44%
Forward feature selection
19%
Backward feature selection
29%
Both A and B
9%
None of these
Handwritten notes of machine learning
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Which of the following is well suited for perceptual tasks?
Anonymous Quiz
24%
Recurrent neural network
32%
Reinforcement learning
30%
Convolutional neural network
14%
Feed forward neural network
Which of the following is a good test dataset characteristic?
Anonymous Quiz
12%
large enough to yield meaningful results
23%
is representative of the dataset as a whole
62%
Both A and B
2%
None of the above
Which of the following is true about Residuals?
Anonymous Quiz
62%
Lower is better
12%
Higher is better
17%
Both A and B
8%
None of these
Classification problems are distinguished from estimation problems in that
Anonymous Quiz
13%
classification problems require the output attribute to be numeric.
64%
classification problems require the output attribute to be categorical
8%
classification problems do not allow an output attribute.
14%
classification problems are designed to predict future outcome.
The search algorithm which is similar to the minimax search, but removes the branches that don't affect the final output is known as__
Anonymous Quiz
28%
Depth first search
23%
Breadth first search
40%
Alpha beta prunning
9%
None of these
Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?
Anonymous Quiz
12%
Decision tree
15%
Model based clustering
46%
K means clustering
27%
Density based clustering
Regression trees are often use to model ________ data.
Anonymous Quiz
45%
Linear
23%
Nonlinear
25%
Categorical
7%
Symmetrical
What are the three stages to build the hypotheses or model in machine learning?
Anonymous Quiz
7%
Model building
7%
Model testing
5%
Applying the model
81%
All the above
Which of the following statements is true when you use 1×1 convolutions in a CNN?
Anonymous Quiz
16%
It can help in dimensionality reduction.
14%
It can be used for feature pooling
20%
It suffers less overfitting due to small kernel size
49%
All the above
What kind of learning algorithm for “Facial identities or facial expressions”?
Anonymous Quiz
9%
Prediction
12%
Generating patterns
68%
Recognizing patterns
10%
Recognition Anomalies Answer
Which of the following offsets, do we use in linear regression’s least square line fit? Suppose horizontal axis is independent variable and vertical axis is dependent variable.
Anonymous Quiz
21%
Vertical offset
22%
Perpendicular offset
48%
Both depending on situation
9%
None of the above