Reference no: EM132908012

Question 1: What is deep learning? What can deep learning do that traditional machine-learning methods cannot?

Question 2: List and briefly explain different learning paradigms/methods of AI.

Question 3: What is representation learning, and how does it relate to machine learning and deep learning?

Question 4: List and briefly describe the most commonly used ANN activation functions.

Question 5: What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN.

Exercise 4: 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 resolve complex real-world problems. Summarize your findings in a professional organized report.