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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. Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.
B. Use K-means Clustering to detect faces in the pixels.
C. Use feature engineering to add features for eyes, noses, and mouths to the input data.
D. Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.
Answer: D
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
Refer to the exhibit. Which two statements about the health of the displayed tenant are true? (Choose two.)

A. The current health score is good and indicates that all EPGs of this tenant are deployed.
B. The health score is good, but further investigation is needed to determine the health of the EPGs.
C. The health score provides a summary indication of health as a score from 1 to 99.
D. Faults directly related to this tenant caused by access policies must be viewed in the Fabric > Access Policies tab.
E. The tenant health score has not changed over the displayed period of time.
Answer: C,E

NEW QUESTION: 3
AWSでは、どのセキュリティ面がお客様の責任ですか？ （4を選択）
A. Controlling physical access to compute resources
B. Security Group and ACL (Access Control List) settings
C. Patch management on the EC2 instance's operating system
D. Life-cycle management of IAM credentials
E. Decommissioning storage devices
F. Encryption of EBS (Elastic Block Storage) volumes
Answer: A,B,C,D

NEW QUESTION: 4
Click the Exhibit tab to see the exhibit.

It is August 8 and you run a report for Last week. Which days will be included in the report?
A. August 2through August 8
B. July 29 through August 2
C. July 28 through August 3
D. August 1 through August 7
Answer: D

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