Sumários
Epilogue
13 Dezembro 2023, 08:30 • André Maria da Silva Dias Moitinho de Almeida
* Hands-on resources for further study andf practice
* Pointers to some recommended methods left behind:
* Some data sources a dn recommendation on data treatment for final work
* Requirements and recommendations for final project
Neural networks
6 Dezembro 2023, 11:00 • André Maria da Silva Dias Moitinho de Almeida
Computational exercises in neural networks
Neural networks
6 Dezembro 2023, 08:30 • André Maria da Silva Dias Moitinho de Almeida
* Neural networks: inspired by biological neural networks in animal brains.
* Goals:
- 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
* Training a neural network
- Backpropagation
- Dropout learning
- Data augmentation
* Network tuning
* Examples of network architectures:
- In detail: Convolutional Neural Networks (CNN)
Classification
29 Novembro 2023, 11:00 • André Maria da Silva Dias Moitinho de Almeida
Computational exercises in classification