CompTIA DataX Study Guide

Chapter 10Neural Networks and Deep Learning

THE COMPTIA DATAX EXAM OBJECTIVES COVERED IN THIS CHAPTER INCLUDE:

• Domain 3: Machine Learning
  • 3.1 Given a scenario, apply foundational machine learning concepts.
  • 3.4 Explain concepts related to deep learning.

Deep neural networks represent an advanced facet of machine learning, focusing on constructing and training multilayered architectures capable of handling highly complex tasks. This chapter begins with an exploration of artificial neural networks, with a focus on network topology, activation functions, and the training algorithm. The discussion then extends to techniques for improving model generalization, such as dropout and batch normalization. Finally, we survey the landscape of deep ...