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

spatial_att_block - bias of conv can be set to False since Batch Norm is applied afterwards #20

Open
dvorst opened this issue Feb 4, 2022 · 0 comments

Comments

@dvorst
Copy link

dvorst commented Feb 4, 2022

The bias of the convolutional layer below can be set to False, since batch normalization is applied afterwards.

MSRF-Net/model.py

Lines 39 to 40 in 60e2373

out = Conv2D(intermediate_channels,kernel_size=(1,1),strides=(1,1),padding='same')(x)
out = BatchNormalization()(out)

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