Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Question: why use TensorFlow BasicLSTMCell instead of other kind of LSTM cell in TF? #100

Open
yehenrytian opened this issue Sep 12, 2018 · 0 comments

Comments

@yehenrytian
Copy link

yehenrytian commented Sep 12, 2018

Just curious, why use BasicLSTMCell instead of other "faster" LSTM cell in TF like:

tf.contrib.rnn.LSTMBlockCellor tf.contrib.rnn.LSTMBlockFusedCell` ?

I am not really a machine learning expert, just thought why not using a faster LSTM cell in TF. I am referring to this post online: https://returnn.readthedocs.io/en/latest/tf_lstm_benchmark.html

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant