Which of the following statement(s) is/are TRUE in the area of artificial intelligence? Select one or more alternatives: There can be any number of layers and any number of neurons in an artificial neural network. Computers are better at computational tasks and humans at recognition and reasoning tasks. The back propagation algorithm trains a neural network by passing errors from the output layer back toward the input layers. Recognizing faces in an image is type of a reasoning task. The back propagation algorithm is an example of machine learning. Recognition tasks require accessing memory, as well as cause and effect information.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Which of the following statement(s) is/are TRUE in the area of artificial intelligence?
Select one or more alternatives:
There can be any number of layers and any number of neurons in an artificial neural network.
Computers are better at computational tasks and humans at recognition and reasoning tasks.
The back propagation algorithm trains a neural network by passing errors from the output layer back toward
the input layers.
Recognizing faces in an image is type of a reasoning task.
The back propagation algorithm is an example of machine learning.
Recognition tasks require accessing memory, as well as cause and effect information.
Transcribed Image Text:Which of the following statement(s) is/are TRUE in the area of artificial intelligence? Select one or more alternatives: There can be any number of layers and any number of neurons in an artificial neural network. Computers are better at computational tasks and humans at recognition and reasoning tasks. The back propagation algorithm trains a neural network by passing errors from the output layer back toward the input layers. Recognizing faces in an image is type of a reasoning task. The back propagation algorithm is an example of machine learning. Recognition tasks require accessing memory, as well as cause and effect information.
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