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NEW QUESTION: 1
Suppose you have a dataset of images that are each labeled as to whether or not they contain a human face. To create a neural network that recognizes human faces in images using this labeled dataset, what approach would likely be the most effective?
A. Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.
B. Use feature engineering to add features for eyes, noses, and mouths to the input data.
C. Use K-means Clustering to detect faces in the pixels.
D. Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.
Answer: A
Explanation:
Traditional machine learning relies on shallow nets, composed of one input and one output layer, and at most one hidden layer in between. More than three layers (including input and output) qualifies as "deep" learning. So deep is a strictly defined, technical term that means more than one hidden layer.
In deep-learning networks, each layer of nodes trains on a distinct set of features based on the previous layer's output. The further you advance into the neural net, the more complex the features your nodes can recognize, since they aggregate and recombine features from the previous layer.
A neural network with only one hidden layer would be unable to automatically recognize high-level features of faces, such as eyes, because it wouldn't be able to "build" these features using previous hidden layers that detect low-level features, such as lines.
Feature engineering is difficult to perform on raw image data.
K-means Clustering is an unsupervised learning method used to categorize unlabeled data.
Reference: https://deeplearning4j.org/neuralnet-overview

NEW QUESTION: 2
Backing beans are a specialized type of managed bean. What is their principal purpose?
A. To store state
B. To define accessors for UI components
C. To manage handlers for event listeners
D. To hold presentation and container logic
E. To execute Java routines
Answer: B

NEW QUESTION: 3
When controlling the virtual router assignment for a PPP over ATM client, what mechanism does the router use first?
A. RADIUS server
B. profile
C. DHCP server
D. domain map
Answer: D

NEW QUESTION: 4
When defining a service level agreement (SLA) regarding the level of data confidentiality that is handled by a third-party service provider, the BEST indicator of compliance would be the:
A. encryption strength.
B. data repository.
C. authentication mechanism.
D. access control matrix.
Answer: D
Explanation:
The access control matrix is the best indicator of the level of compliance with the service level agreement (SLA) data confidentiality clauses. Encryption strength, authentication mechanism and data repository might be defined in the SLA but are not confidentiality compliance indicators.