Introduction to neural computations
Undergraduate and graduate course, Wroclaw University, Faculty of Physics and Astronomy, 2019
It was an introduction to neural computations. The course covers:
- Hopfield networks
- Linear discriminants
- Single neuron, perceptron
- Least-square method
- Multi-layer perceptron, XOR problem, Cybenko theorem
- Backpropagation of errors
- Relative entropy
- Bayesian neural networks