pytorch implementation of bayesian LSTM
Extension of pytorch implementation of RECURRENT NEURAL NETWORK REGULARIZATION.
Many codes are from repository above.
Many of hyperparameters are from the repository of the author of the paper (Yarin Gal).
-
Notifications
You must be signed in to change notification settings - Fork 0
pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.05287)
kibitzing/BayesianRNN_pytorch
About
pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.05287)
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published