Question Description
1.What is deep learning? What can deep learning do that traditional machine-learning methods cannot?
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2. List and briefly explain different learning paradigms/ methods in AI.
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3. What is representation learning, and how does it relate to machine learning and deep learning?
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4. List and briefly describe the most commonly used ANN activation functions.
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5. What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN
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6. Cognitive computing has become a popular term to define and characterize the extent of the ability of machines/ computers to show “intelligent” behavior. Thanks to IBM
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