Sumários

Neural networks - I

10 Dezembro 2024, 14:00 • André Maria da Silva Dias Moitinho de Almeida

  • Neural networks: biological inspiration.
  • Overview: 
    • General purpose neural networks for supervised learning
    • Neural networks designed specifically for image processing (e.g. Convolutional Neural Networks - CNNs)
    • Neural networks for sequential data (e.g. Recurrent Neural Networks  - RNNs)
    • Neural networks for unsupervised learning (e.g. Self Organising Maps - SOM; and Autoencoders)
  • Artificial Neurons: signal, weights, biases, activation functions
  • Activation Functions

Classification - II

4 Dezembro 2024, 09:30 • André Maria da Silva Dias Moitinho de Almeida

Computational exercises on classification 

Classification - IV

4 Dezembro 2024, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • Supervised methods (cont)
    • Bagging
    • Random forests
    • Boosting: 
      • AdaBoost
      • Gradiend Boosting
      • XGBoost
  • Semi-supervised methods

Classification - III

3 Dezembro 2024, 14:00 • André Maria da Silva Dias Moitinho de Almeida

  • Supervised methods (cont)
    • Support Vector Machines (SVM)
    • Decision Trees

Classification - I

27 Novembro 2024, 09:30 • André Maria da Silva Dias Moitinho de Almeida

Computational exercises on classification