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

Backward Pass: Input and Gate Computation - II #7

Open
mxlei01 opened this issue Jun 8, 2017 · 1 comment
Open

Backward Pass: Input and Gate Computation - II #7

mxlei01 opened this issue Jun 8, 2017 · 1 comment

Comments

@mxlei01
Copy link

mxlei01 commented Jun 8, 2017

I'm not sure how the derivative of h^t-1 could be computed, since many equations in z^t relies on h^t-1. Do we compute each function's derivative and add them together to form the derivative of h^t-1?

c^t hat is a^t

image

I'm new to LSTMs, and I'm trying to derive the backpropagation of LSTMs. Your site was very helpful to me.

Thanks

@arunmallya
Copy link
Owner

I'll have a look in a few days.

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

2 participants