Optimization Methods
Revision as of 06:25, 24 October 2018 by BPeat (talk | contribs) (BPeat moved page Optimization Methods for LSTMs to Optimization Methods without leaving a redirect)
- Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
- Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Network (RNN)
- Average-SGD Weight-Dropped LSTM (AWD-LSTM)
- Gradient Boosting Algorithms
Methods:
- Stochastic gradient descent (SGD) (with and without momentum)
- L-BGFS
- Adagrad
- Adadelta
- Root Mean Squared (RMSprop)
- Adam
- Hessian-free (HF)
