#regularization
3 articles
- Dropout: Regularization for Neural Networks Randomly dropping units during training to prevent overfitting
- Keeping Neural Networks Simple by Minimizing the Description Length of the Weights Hinton's MDL approach to neural network regularization through noisy weights
- Recurrent Neural Network Regularization How to apply dropout to LSTMs without disrupting memory dynamics