Exam 6: Deep Learning and Cognitive Computing
Exam 1: Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence: Systems for Decision Support21 Questions
Exam 2: Artificial Intelligence Concepts, Drivers, Major Technologies, and Business Applications53 Questions
Exam 3: Nature of Data, Statistical Modeling, and Visualization33 Questions
Exam 4: Data Mining Process, Methods, and Algorithms15 Questions
Exam 5: Machine-Learning Techniques for Predictive Analytics30 Questions
Exam 6: Deep Learning and Cognitive Computing56 Questions
Exam 7: Text Mining, Sentiment Analysis, and Social Analytics13 Questions
Exam 8: Prescriptive Analytics: Optimization and Simulation17 Questions
Exam 9: Big Data, Cloud Computing, and Location Analytics: Concepts and Tool12 Questions
Exam 10: Robotics: Industrial and Consumer Applications64 Questions
Exam 11: Group Decision Making, Collaborative Systems, and AI Support26 Questions
Exam 12: Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors54 Questions
Exam 13: The Internet of Things As a Platform for Intelligent Applications60 Questions
Exam 14: Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts61 Questions
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Theano is a Java library developed by the Deep Learning Group at the University of Montreal.
(True/False)
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Select and discuss a computer framework for implementing deep learning. Make sure to discuss its origin hardware targets and popular implementations.
(Essay)
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The ________ is caused by very small derivatives of sigmoid functions in some regions of the images.
(Short Answer)
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A convolution layer is followed by a pooling layer, also know them as a ________ layer.
(Short Answer)
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Which type of neural network is characterized by allowing feedback connections?
(Multiple Choice)
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Real applications of deep learning in general and CNN's in particular highly depend on the availability of:
(Multiple Choice)
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Sensitivity analysis is a method for extracting the what among the inputs and the outputs of a trained neural network model?
(Multiple Choice)
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Deep belief networks (DBNs) is a(n) ________ pretraining deep learning methods.
(Short Answer)
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________ refers to a subfield of AI that employs computer programs to translate speech or text from one language to another.
(Short Answer)
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What factors are not allowing banks to use more advanced AI based fraud detection systems?
(Multiple Choice)
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Generally, a ________ order of layers has to be held between the input and the output layers in the MLP-type network architecture.
(Short Answer)
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________ is an open-source neural network library that functions as a high-level application programming interface (API).
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