Sumários

Neural Networks

10 Dezembro 2025, 09:30 • André Maria da Silva Dias Moitinho de Almeida

Computational exercises on Neural Networks

Neural networks - II

10 Dezembro 2025, 08:30 • André Maria da Silva Dias Moitinho de Almeida

  • Training a neural network (cont)
    • Data augmentation
  • Network tuning
  • Examples of other network architectures:
    • Radial Basis Network (RBF)
    • Recurrent Neural Network (RNN)
    • Autoencoders
  • In detail: Convolutional Neural Networks (CNN)

Neural networks - I

9 Dezembro 2025, 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
  • Neural network layers and deep learning
  • Training a neural network
    • Backpropagation
    • Dropout learning

Classification - II

3 Dezembro 2025, 09:30 • André Maria da Silva Dias Moitinho de Almeida

Computational exercises on classification 

Classification - III

3 Dezembro 2025, 08:30 • André Maria da Silva Dias Moitinho de Almeida

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