What is deep learning? What can deep learning do those traditional machine-learning methods cannot?
2. List and briefly explain different learning paradigms/methods in AI.
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.
5. What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN.
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 Watson and its success on Jeopardy!, cognitive computing and cognitive analytics are now part of many real-world intelligent systems. In this exercise, identify at least three application cases where cognitive computing was used to solve complex real-world problems. Summarize your findings in a professionally organized report. Information Systems homework help