| Lectures | Description | Slide |
| Neural network | ||
| 1 | Introduction to Neural networks and applications | Slide 1 |
| 2 | Mathematic models of neuron and neural network architectures | Slide 2 |
| 3 | Illustrative examples | Slide 3 |
| 4 | Perceptron network | Slide 4 |
| 5 | Objective function Optimization | Slide 5 |
| 6 | Training Perceptron network | Slide 6 |
| 7 | Multilayer Perceptron | Slide 7 |
| 8 | Overfitting | Slide 8 |
| 9 | Recurrent Neural Network | Slide 9 |
| 10 | CNN - DNN | Slide 10 |