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 small problem in config.py #18

Closed
hanyaqian opened this issue Jun 18, 2017 · 2 comments
Closed

a small problem in config.py #18

hanyaqian opened this issue Jun 18, 2017 · 2 comments

Comments

@hanyaqian
Copy link

hanyaqian commented Jun 18, 2017

Hi @lvapeab

  1. What is it for you to say that using batches with homogeneous output lengths and using dropout in recurrent layers is dangerous? here and here
  2. What is the meaning of vqa? here

Regards!

@lvapeab
Copy link
Owner

lvapeab commented Jun 18, 2017

Hi @hanyaqian,

1.1 The "homogeneous batches" setting is somehow buggy. I don't know exactly the problem yet. As I have some time, I'll try to fix it.

1.2 It is not straightforward to apply dropout to recurrent layers, as it can have unexpected effects. It is safer to apply dropout to the input of the RNN, not to the recurrent connections. Nevertheless, take a look to this paper for furthest discussion: https://arxiv.org/pdf/1512.05287.pdf

  1. VQA stands for 'visual question answering'. See the VQA challenge. The keras wrapper is prepared for store the output in the format required by this challenge. Nevertheless, the 'vqa' tag might be confusing in the config file. I'll remove it for the sake of clarity ;)

@hanyaqian
Copy link
Author

Hi @lvapeab

Your work is fantastic and thank you very much.

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