Thanks for pointing me to this reference. I have implemented the baseline model mentioned in this paper. A sharp rise of 4% in classification accuracy is clearly observable. While there would be an improvement due to theoretical reasons, the difference between improved accuracy and original accuracy might get less on introducing other factors. It is on my TODO to add new results on different models and by introducing other things in a simple CNN as well.
This repository is for deep learning enthusiasts of all levels - a simple modification in classical CNN architecture to boost the accuracy. Based on a recently published paper. Even absolute beginners can understand what's written in there. Discussions are highly encouraged !
Hi ! Thanks for the valuable suggestion :-) Your points make much sense to me. I am caught up with some other work but I surely intend to make amendments latest by next 20 days.
Absolutely, though I'll put in softmax, tanh and ReLU activation functions in near time. It isn't that difficult. Putting in more docstrings is also one of my todo.
I tried it, yours is a bit different, if your columns are smaller than the size you declared it leaves that extra white space, while yolog autofits columns.
I like refs better than email.
Thanks for informing, i cannot understand this syntax, can you provide a link to understand ?