Andreas Knoblauch

Power Function Error Initialization Can Improve Convergence of Backpropagation Learning in Neural Networks for Classification

2021 · Neural Computation

Supervised learning corresponds to minimizing a loss or cost function expressing the differences between model predictions yn and the target values tn given by the training data. In neural networks, this means backpropagating error signals …