ML4EA

Part 2 · Chapter 9

Neural Networks and Deep Learning

Moves from artificial neurons and multilayer perceptrons to modern deep architectures, training practices, evaluation, and engineering deployment.

Chapter map

What this chapter develops

  • Perceptrons and MLPs
  • Activation functions
  • Backpropagation
  • Regularization
  • CNNs and sequence models
  • Interpretability and deployment

Engineering practice

Application and Diamond Examples

  1. 01

    Manufacturing quality classification with MLP

  2. 02

    Concrete strength prediction

  3. 03

    CNN surface-defect detection

  4. 04

    LSTM predictive maintenance from sensor time series

Companion materials

Portal resources

Chapter catalogFind this chapter’s indexed examples and related topics.Application Example catalogOpen 7 validated notebooks with a verified portal account.AE datasetsReview dataset sources and generation details for this chapter's Application Examples.DiscussionAsk chapter-specific questions and compare engineering interpretations with other readers.