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Answer: 3.Find how-to videos
Answer:
3.Find how-to videos
Answer: All three: 1.CSV 2.JSON 3.EXCEL
All three:
1.CSV
2.JSON
3.EXCEL
Pooling
Answer: Aspect Ratio Object sizes Overlapping objects
Aspect Ratio
Object sizes
Overlapping objects
Answer: Cascade Classifiers
Answer: When using an Adaboost, it focuses on the correctly classified examples in the following round
What kinds of things can you do in the Discover section of the Welcome screen?
Answer: 3.Find how-to videos
Answer:
3.Find how-to videos
See lessWhich of the following are data connection options in the Connect section of the Welcome screen of Tableau?
Answer: All three: 1.CSV 2.JSON 3.EXCEL
Answer:
All three:
1.CSV
2.JSON
3.EXCEL
See lessWhich of the following helps to reduce the number of parameters of an input image and still preserves the important features
Pooling
Pooling
See lessWhich of these are a problem of sliding windows? Select all that apply 1 point Aspect Ratio Object sizes Overlapping objects Grayscale image
Answer: Aspect Ratio Object sizes Overlapping objects
Answer:
Aspect Ratio
Object sizes
Overlapping objects
See lessWhen we are dealing with object detection, there are many different classifiers that we can use. Which of the following classifiers is trained on a large number of images that include the object we are trying to detect as well as images that do not contain the object we are trying to detect? Cascade Classifiers Sliding window Classifiers Viola Classifiers Integral classifiers
Answer: Cascade Classifiers
Answer: Cascade Classifiers
See lessWhich of the following is not accurate about the AdaBoost? In an Adaboost, a strong classifier is a linear combination of a weak classifier When using an Adaboost, it focuses on the correctly classified examples in the following round Adaboost selects only those features that help to improve the classifier accuracy Adaboost cuts down features of an image significantly
Answer: When using an Adaboost, it focuses on the correctly classified examples in the following round
Answer: When using an Adaboost, it focuses on the correctly classified examples in the following round
See less