mhjabreel / charcnn_keras Goto Github PK

hello, at first, thank for your contribution and nice work

I got a problem about model prediction, just trained model with 10 epochs, after training model, when I used model.predict on whole validation set I got all same value for each sample of validation set (returned value for each class on each sample of validation is : 0.250, 0.251, 0.250, 0.250 )
does it right value? actually it assign any new sample to second class.

it would be great if u can help me
with regards

Amazing code!
Could you please add a LICENSE file (preferably MIT) so that I can use part of your code for a project of mine?
I will not forget to mention your name and give you credits.

Thank you so much!

How to pass the learning rate for these model ?

I tried to update the config.json and
1st try - passed the learning rate before compile the model.
2nd try - set the value from Keras Backend for optimiser learning rate

Both the times, I am unable to pass the learning rates. Is there any way to pass the learning rates ?

Shouldn't c = s[i-1] not c = s[-i]? -i is the negative of i, not the index you want.

Hello I am a student interested in cnn.
I'd like to run with another datasets on this paper.
However,when the ag_news was calculated using gpu titan x.
It took a long time.
How long does it take to train the model?
If you used a different set of data, how did you solve the memory error?
And how long did it take?
Thank you very much..