LantaoYu SeqGAN issues - Githubissues

LantaoYu / 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 3 years ago
0
How can i use my own training data ?

#69 dieey opened 4 years ago
2
dataset

#68 saharjandaghy opened 4 years ago
1
NLG

#67 nlpofwhat opened 4 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 5 years ago
0
模型问题

#52 TyrionChou closed 5 years ago
0
About the sequences to process

#51 sagechen opened 5 years ago
0
Keras implementation of SeqGAN

#50 rahulvigneswaran opened 5 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 5 years ago
2
Issue regarding new review generation

#48 akhileshkumargangwar opened 5 years ago
0
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 6 years ago
2
Could you please provide source code about music generation?

#36 Albert-Ye opened 6 years ago
0
Once the training is done, how can we reuse the model?

#35 sweetkurapika opened 6 years ago
1
About pre-training generator

#34 playma opened 6 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 6 years ago
1
How the gradients pass down if there's a tf.multinomial() sampling process?

#31 kunrenzhilu closed 6 years ago
1
where does the randomness of the generator come from?

#30 kunrenzhilu closed 6 years ago
1
why should update rollout policy in this way?

#29 vanpersie32 closed 5 years ago
8
question about update_params in roll out policy

#28 vanpersie32 opened 6 years ago
0
Did you track discriminator accuracy and loss?

#27 benstaf opened 6 years ago
1
problems happened

#26 daveanyan opened 6 years ago
0
How to run the code in the python3.5.2

#25 daveanyan closed 6 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 6 years ago
1