Issues
- 0
Blog post not opening
#44 opened by ragvri - 0
- 1
train ConvolutionModel model,it seems failed
#27 opened by snowlord - 1
Blog is unavialable
#41 opened by jiqiujia - 2
Example script for AttentionLSTM
#36 opened by Spider101 - 1
What is single_attention_param?
#40 opened by yanghanxy - 1
Keras 2 compatibility
#39 opened by zzaibi - 0
- 0
- 2
Training loss and validation loss are too low
#35 opened by HatemMS2012 - 2
TypeError: 'NoneType' object is not iterable
#29 opened by SeekPoint - 0
Trainable weights in AttentionLSTMWrapper
#33 opened by saurabhmathur96 - 5
Sample example code in your blog not working and giving TypeError: Cannot convert Type TensorType?
#31 opened - 0
Sigmoid in AttentionLSTM
#30 opened by bkj - 0
how to train it in an incremental way?
#28 opened by SeekPoint - 2
What changes are needed to run the CNN model?
#17 opened by wailoktam - 0
incorrect predicted output shape
#26 opened by jdongca2003 - 0
- 0
- 24
Any idea to get the performance to 70%
#20 opened by wailoktam - 1
- 2
Exception: Layer lambda_1 does not support masking, but was passed an input_mask: Elemwise{neq,no_inplace}.0
#22 opened by PengTedShen - 1
Question on top1-precision evaluation formula
#18 opened by wailoktam - 1
- 1
Can you tell me what test1 and test2 of the insurance data set correspond to in the original data?
#14 opened by wailoktam - 1
- 32
Lambda soes not support making
#7 opened by mathrb - 7
- 2
Evaluation Result Correct?
#10 opened by wailoktam - 0
Adding one channel to the input data
#15 opened by wailoktam - 1
How to adapt to Keras 1.03
#9 opened by wailoktam - 4
- 3
- 1
Making evaluation after training work
#12 opened by wailoktam - 0
Error saving the model
#8 opened by akmahaja - 1
An error when saving model and weights!
#6 opened by Imorton-zd - 3
- 1
data_path is hardcoded in several places
#2 opened by jim-kukla - 1
Some questions about attention model!
#1 opened by Imorton-zd