1. What is deep learning? What can deep learning do that
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?
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 realworld
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.
NOTE : be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations)
paper should be 1-2 pages lenth.