NEIBCC Deep Learning and Machine Learning Discussion

I’m working on a computer science question and need an explanation to help me study.

Discussion

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.

Exercise:

1. 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