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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 K-means Clustering to detect faces in the pixels.
B. Use feature engineering to add features for eyes, noses, and mouths to the input data.
C. Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.
D. Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.
Answer: C
Explanation:
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
An administrator has users accessing network resources through Citrix XenApp 7 x.
Which User-ID mapping solution will map multiple users who are using Citrix to connect to the network and access resources?
A. Syslog Monitoring
B. Client Probing
C. Terminal Services agent
D. GlobalProtect
Answer: C

NEW QUESTION: 3
A client goes to the mental health center for difficulty concentrating, insomnia, and nightmares. The client reports being raped as a child. The nurse should assess the client for further signs of:
A. schizophrenia.
B. bipolar disorder.
C. general anxiety disorder.
D. post-traumatic stress disorder.
Answer: D
Explanation:
Childhood sexual abuse is associated with adult-onset depression and with an increased risk for lifetime and current post-traumatic stress disorder (PTSD). About one-third of all victims of sexual abuse meet the diagnostic criteria for PTSD. A person with PTSD has three main types of symptoms: (1) Re-experiencing the traumatic event with flashbacks, nightmares, and exaggerated reactions to triggers that remind the person of the event. (2) Emotional numbing is evidenced by avoidance of activities, places, thoughts, feelings, or conversations related to the trauma; feelings of detachment from others; and restricted or blunted emotions. (3) Increased activity is seen in bursts of anger, difficulty sleeping, hypervigilence, difficulty concentrating, and an exaggerated startle response. Other problems associated with PTSD are panic attacks, suicidal thoughts and feelings, substance abuse, eating disorders, feelings of alienation and isolation, and feelings of mistrust and betrayal.Psychosocial Integrity