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Hey, I liked the clean way you implemented some of this code and since it is MIT licensed I was planning on merging a couple things in keras-contrib with attribution, but wanted to let you know!
Do you have any numbers for the kind of training results you got or idiosyncrasies I should know about?
The text was updated successfully, but these errors were encountered:
Hi Andrew,
this is very good news and definitely a big compliment for me. Feel free to use the code. Unfortunately, I stopped working on this project due to lack of time. Therefore, I did not generate any numbers. Feel free to ask if you have questions. I will try to answer them.
Best regards,
Duy
cool, well if you wouldn't mind reviewing my version based on yours I'd appreciate it! keras-team/keras-contrib#197
I had to make some changes to deal with numerical issues in a way that theano would support, and I went with a simpler way of flattening the data properly while maintaining channels in the results.
Hey, I liked the clean way you implemented some of this code and since it is MIT licensed I was planning on merging a couple things in keras-contrib with attribution, but wanted to let you know!
Do you have any numbers for the kind of training results you got or idiosyncrasies I should know about?
The text was updated successfully, but these errors were encountered: