9 Step Process in Conducting a Neural Network Project Discussion
Part1:Discussion (Chapter 6): List and briefly describe the nine-step process in con-ducting a neural network project.
Part2:Discussion Question #1: What is deep learning? What can deep learning do that traditional machine-learning methods cannot?
Discussion Question #2: List and briefly explain different learning paradigms/methods of AI.
Discussion Question #3: What is representation learning, and how does it relate to machine learning and deep learning?
Discussion Question #4: List and briefly describe the most commonly used ANN activation functions.
Discussion 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.
TextBook: Analytics, Data Science, & Artificial Intelligence 11th edition
Need 1page answer for Part1 question and Part2 all discussion questions 2 pages and exercise 1page, total : 4pages. No plagiarism and no copy and paste sentence directly from any website. if using online source then should Rephrase the sentence and cite them according to APA format (version 7) and mention the reference at end of document.Need 2 word documents for Part1 and 2.