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LantaoYu
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SeqGAN
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
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Questions about the recurring results of the code
#71
giraffeCjl
opened
3 years ago
1
How to resume training in Colab?
#70
syedasara-angelium
opened
4 years ago
0
How can i use my own training data ?
#69
dieey
opened
4 years ago
2
dataset
#68
saharjandaghy
opened
5 years ago
1
NLG
#67
nlpofwhat
opened
5 years ago
0
About the accuracy of discriminator during training?
#66
xieexiaotuzi
opened
5 years ago
0
data format
#65
ExpressGit
opened
5 years ago
0
How should I understand the RL loss function
#64
yanghoonkim
closed
4 years ago
0
About generator in adversarial training
#63
xieexiaotuzi
opened
5 years ago
2
gradient decent implementation
#62
o20021106
opened
5 years ago
0
If the positive sample and negative sample of each training are corresponding, will it affect the training result
#61
yeshenpy
opened
5 years ago
0
About oracle model
#60
jaingmengmeng
opened
5 years ago
0
About dataset.
#59
jaingmengmeng
closed
5 years ago
1
Nothing. Ignore it.
#58
Angus07
opened
5 years ago
0
What is the difference between SeqGAN and LM for text generation?
#57
guotong1988
opened
5 years ago
1
Updated sequence_gan to be Python 3.6 compatible
#56
Deniall
opened
5 years ago
3
关于采样的问题
#55
J-zin
opened
5 years ago
0
Training on custom dataset
#54
WorldHellow
closed
4 years ago
1
the input data?
#53
YiLing28
opened
6 years ago
0
模型问题
#52
TyrionChou
closed
6 years ago
0
About the sequences to process
#51
sagechen
opened
6 years ago
0
Keras implementation of SeqGAN
#50
rahulvigneswaran
opened
6 years ago
0
how can i run this code with python3.5? i dont know how install tensorflow-gpu in python2.7
#49
bikuku
opened
6 years ago
2
Issue regarding new review generation
#48
akhileshkumargangwar
opened
6 years ago
1
Question about the corpus
#47
wyxcc
opened
6 years ago
2
Confusion about generator training in adversarial train
#46
xiyan524
closed
6 years ago
0
About baseline of reward function
#45
jackyyeh5111
opened
6 years ago
1
Three questions about this model ~
#44
redinton
opened
6 years ago
1
Why do you define a create_recurrent_unit function yourself?use lstm?
#43
LLLLLLoki
opened
6 years ago
1
Modify get_reward to suit various length sequence
#42
TobiasLee
closed
6 years ago
0
what the 'start state s0' exactly is?
#41
shaomai00
opened
6 years ago
1
Is the loss of the discriminator in GAN the same as that in pretraining?
#40
eduOS
closed
6 years ago
1
Monte-Carlo roll-out
#39
WangWenshan
closed
6 years ago
4
Vocab Dictionary
#38
EternalFeather
closed
6 years ago
1
输入数据在哪?
#37
Perfeee
opened
7 years ago
2
Could you please provide source code about music generation?
#36
Albert-Ye
opened
7 years ago
0
Once the training is done, how can we reuse the model?
#35
sweetkurapika
opened
7 years ago
1
About pre-training generator
#34
playma
opened
7 years ago
1
Understanding of reward and loss function
#33
tocab
closed
6 years ago
7
Why do you use a separate rollout instead of directly using the Generator?
#32
kunrenzhilu
opened
7 years ago
1
How the gradients pass down if there's a tf.multinomial() sampling process?
#31
kunrenzhilu
closed
7 years ago
1
where does the randomness of the generator come from?
#30
kunrenzhilu
closed
7 years ago
1
why should update rollout policy in this way?
#29
vanpersie32
closed
6 years ago
8
question about update_params in roll out policy
#28
vanpersie32
opened
7 years ago
0
Did you track discriminator accuracy and loss?
#27
benstaf
opened
7 years ago
1
problems happened
#26
daveanyan
opened
7 years ago
0
How to run the code in the python3.5.2
#25
daveanyan
closed
7 years ago
0
I still don't know exactly what (N Time Monte Carlo sampling) is..
#24
guotong1988
closed
6 years ago
1
What is the function of rollout.update_params()?
#23
guotong1988
closed
6 years ago
2
Support python3.5.2?
#22
wangtao1321
closed
7 years ago
1
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