L4 Practical aspects of ANN approaches to pattern recognition problems

Lecture slides (Lecture 4 Download Lecture 4)

Date and venue: Jan 25, 8:15-10:00, Lecture hall B2

Session format: Q&A and interactive lecture

Before the lecture
Please make sure you have watched pre-recorded supplementary video on Error and Optimisation schemes.

Discussion during the online session: L4 Download L4

After the lecture

One hour of interactive discussion + one hour of lecture: slides Download slides, video recording.

 

Scope, topics covered:

  • data preprocessing
  • feature extraction, feature selection
  • multi-label classification
  • evaluation, validation, error measures

Reading material:

  • S. Marsland: 7.1, 7.2 (2nd ed.: 13.1,13.2)
  • Christopher M. Bishop, Neural Networks for Pattern Recognition. Oxford University Press: ch. 6, 7, 8, 9.6-9.7  
  • R. Rojas: 9.1.6