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 |