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

Training Of Localisation Network and Sampler #1

Open
tarun-munjal opened this issue Apr 27, 2019 · 0 comments
Open

Training Of Localisation Network and Sampler #1

tarun-munjal opened this issue Apr 27, 2019 · 0 comments

Comments

@tarun-munjal
Copy link

How are the weights getting trained in localisation network and sampler.
In original paper by { jaderberg, simonyan, zisserman, korayk } of Spatial Transformer Network , they have mentioned that the sampler and localisation networks weights can be trained using sub gradients. But in you code i haven't find any of the back propagation mechanism on both of these. Initially random weights are assigned and all the work is being done by the CNN you have implemented. I ran this code for 500 epochs on rotated a data set of MNIST but the results were very disappointing.
Can you please tell me where is that training done of Sampler, Grid generator and Localisation Network ?\

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