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

A more efficient approach #28

Open
camigord opened this issue Mar 21, 2017 · 0 comments
Open

A more efficient approach #28

camigord opened this issue Mar 21, 2017 · 0 comments

Comments

@camigord
Copy link

Hi @carpedm20,

your code helped me a lot when I was just starting to understand NTMs and I am therefore very grateful for your contribution.

Recently, I found out about the Differential Neural Computer implementation from Mostafa-Samir. He approaches the problem of having different sequence lengths in a different way using some dynamic functions provided by TensorFlow. This code, clearly, results to be more efficient than the reference code you have provided.

I decided to replicate the NTM implementation following the same approach and I ended up with this. I have made the proper references to your code and approach. I hope you don't mind.

Best,

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