In this course the basic topics on statistical pattern recognition and deep neural networks are introduced:

Introduction to statistical and neural pattern recognition
Linear and nonlinear classifiers
Kernel methods and learning deep neural network
Feature extraction, selection and reduction
Applications and system performance evaluation