("Not*: This is an interactive item Follow the instructions to answer the question Scroll bars may appear if the windows are too small Each window can be re-sized by dragging on the 5 circles located between windows) Complete the statement on the right with the options on the left.
Select and Place:
Which option is the correct activation (unction for the output layer in a CNN model trained to classify an image belonging to one of the n classes (CI. C2, C3, , Cn)?
A. Sigmoid
B. ReLU
C. TanH
D. Softmax
Consider the category rule:
Which statement is TRUE about a document that satisfies this rule?
A. It exhibits the topic named INCURSION
B. It exhibits one or more of the items used to define the INCURSION concept
C. It contains the term "incursion" or any of the stemmed versions of "incursion '
D. It satisfies a previously defined INCURSION category rule but overrides the primary Boolean operator in the original rule with the OR operator
Refer to the exhibit.
How many output feature maps would be created by a convolutional layer with four filters applied to a three channel input?
Enter your numeric answer in the space above.
A. 12
Which statement is TRUE regarding topic creation in the Topics node1?
A. Topics Map can be used to explore the topic and terms associations
B. Term density can be adjusted using a sliding bar in the Term Cloud panel
C. Custom topics can be generated using user-specified terms
D. Exact document density threshold value can be supplied in the Edit Topics Properties window
You have a very large set of documents you are preparing for SAS Visual Text Analytics Which two actions should you perform during data preparation? (Choose two)
A. Use CHAR data type tor the Text variable with a long length
B. Have enough number of documents for each category label
C. Sample the data first for subsequent interactive model development
D. Keep all the character variables in addition to the Text variable
What computation is performed when applying a neural network with Batch Normalization to test data?
A. μ and o^2 are estimated using an exponentially weighted average across tram and test sets
B. Normalizations are applied using parameters learned during testing
C. Normalizations are applied using parameters learned during training
D. μ and o^2 are estimated using an exponentially weighted average across test set
Consider a 224x224 image provided as input for training a CNN for image classification A 5x5 filter is to be used with a stride of 1 for the first convolutional layer What size padding should be applied in order to maintain the original resolution to provide as input to the next layer?
Enter your numeric answer in the space above.
A. 3
Refer to the exhibit (width'height'stride, d=depth): What is the cardinality within this block*?
A. 4
B. 32
C. 3
D. 5
Regularization in neural networks represents a set of techniques devised to accomplish what?
A. Reduce overfitting
B. Downsample a feature map
C. Minimize the toss function
D. Calculate a softmax
