Sumários
Lab 6: Neural Networks
25 outubro 2021, 09:00 • Maria Urze Osório
Neural Networks, Backpropagation algorithm, Squared Error and Sigmoid Activation Function.
Lab 6: Neural Networks
25 outubro 2021, 09:00 • Andreas Miroslaus Wichert
Neural Networks, Backpropagation, Squared Error, Vector Notation,
Lab 5: Perceptron and Gradient Descent
22 outubro 2021, 11:30 • Luís Sá Couto
Perceptron, (Stochastic) Gradient Descent
MLPs and Backpropagation
22 outubro 2021, 08:30 • Rui Henriques
Activation functions and architectures.
Backpropagation: gradient descent to infer updating rules.
Squared error versus cross-entropy loss functions and corresponding updating rules.
Classic versus stochastic backpropagation.
MLP learning convergence.
L05: Perceptrão e Método do Gradiente
22 outubro 2021, 08:00 • Eugénio Ribeiro
Resolução de exercícios sobre o perceptrão e o método do gradiente.