Given the category rule:
Which document would be identified based on the text strings in the answer options?
Given the code to score images:
What is the actual batch size?
What are two reasons to use a pooling layer in a Convolution Neural Network (CNN)? (Choose two)
Given an equivalent number of neurons why would you use an LSTM-based recurrent neural network over a conventional recurrent neural network?
Which statement is TRUE regarding the impact of node placement"?
What sampling method does the DLTUNE action use to sample the hyper parameter values?
Which statement is TRUE regarding the document relevancy scores generated in the Topics Node?
Assume no padding is used for the input.
What is the output feature map size created by the cross-correlation between a three color channel, 10*10 input and a 4"4 filter that has a stride of two?
Enter your numeric answers in the spaces above
Refer to the Exhibit Tab:
An analyst is trying to find Aviation Safety Reports (ASR) related to taxiway and runway incursions
• She does not know the LITI language
• She finds that 3 of the 14 derived topics have keywords related to incursion incidents.
• She would like to examine documents that discuss incursions from the current ASR document collection
Which strategy will best support the analyst's goals?