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

Why the guided gradients? #1

Open
ISipi opened this issue Apr 13, 2021 · 0 comments
Open

Why the guided gradients? #1

ISipi opened this issue Apr 13, 2021 · 0 comments

Comments

@ISipi
Copy link

ISipi commented Apr 13, 2021

Hi, could you explain the use of the guided gradients (below) with respect to the Selvaraju et al. 2019 paper? Do these guided gradients refer to the Guided Backpropagation part? I also don't see you using ReLU at any point?

# compute the guided gradients
castConvOutputs = tf.cast(convOutputs > 0, "float32")
castGrads = tf.cast(grads > 0, "float32")
guidedGrads = castConvOutputs * castGrads * grads
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