|Perfect Number of Pages to Order||5-10 Pages|
Discussion Paper on Computer Science at Work
1 – What is deep learning and how does it work? What is it that deep learning can achieve that other machine-learning approaches can’t?
2 – List and briefly discuss the various AI learning paradigms and methodologies.
3- How does representation learning relate to machine learning and deep learning?
4- Make a list of the most often used ANN activation functions and briefly describe them.
5- What exactly is MLP and how does it function? Explain how the summing and activation weights in MLP-type ANNs work.
6 -Cognitive computing has become a popular phrase for describing and defining the extent to which machines/computers may demonstrate “intelligent” behavior. Cognitive computing and cognitive analytics are now a part of many real-world intelligent systems, thanks to IBM Watson and its triumph on Jeopardy! Identify at least three application instances in which cognitive computing was employed to solve complicated real-world challenges in this activity. In a well-organized report, summarize your findings.
You support the work this week, make sure to include an APA cover page and at least two APA formatted references (including APA in-text citations).
Plagiarism is strictly prohibited.
Also, adhere to APA guidelines.
2 PAGES ARE REQUIRED (Excluding cover page and reference page )