Section outline

  • Learning Objectives

    • Understand the concept and definitions of artificial neural networks (ANN)

    • Know the similarities and differences between biological and artificial neural networks

    • Learn the different types of neural network architectures

    • Learn the advantages and limitations of ANN

    • Understand how backpropagation learning works in feedforward neural networks 

    • Understand the step-by-step process of how to use neural networks

    • Appreciate the wide variety of applications of neural networks; solving problem types of

      • Classification

      • Regression 

      • Clustering

      • Association

      • Optimization

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