Wednesday, April 3rd, 2019 at 1pm in the Biomedical Research Centre, Room 251
Title: Applied Neural Networks for Classification
Speaker: Prof. David Becerra, Visiting Professor at Zandstra Lab, University Loyola Andalucía
This is an introductory discussion on the use of artificial neural networks (NN), where practical examples will be used. Contents include:
- What kind of questions can we answer with NN?
- What kind of data can we use?- Supervised and unsupervised problems
- The generic structure of the feedforward NN
- Heuristics: Back propagation and Extreme Learning Machines (ELM)
- ELM Stochasticity: Pros and cons
- Training and testing data
- Overfitting: how many neurons are enough? How many are too many?
- Measures: Accuracy, Dispersion per class accuracy. Taking minority classes into account - Looking into the black box: Weights
- Concept activation vectors
Requirements: No prior knowledge is required for this seminar.