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Thanks for your coding.I have some small problems,could you help me?
When I use my dataset，it happens.
`> training arguments:
>>> if_test: False
>>> run_model: seqgan
>>> k_label: 2
>>> dataset:…
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Ideas:
- SeqGAN treats their RNN Generator as an agent of Reinforcement Leraning and uses Monte Carlo Search to find the best possible next word.
- RelGAN: ?
- Treat the output as a single 1D chara…
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when i run run_seqgan.py 1 1,the CPU usage rate reaches 100%
Please tell me how to solve this problem,thanks
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I'm new to LeakGAN or SeqGAN or TextGAN. I know GAN is to generate text and let discriminator un-judge-able to real text and gen-text.
LM(language model) is the task of predicting the next word and c…
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hello everyone,
I have learned that in order to reduce the variance of gradient estimator,
usually we apply the "reward baseline" technique in the gradient optimization function like
, I can not pre-train the generator because I can not know the distribution of the text rig…
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The figure of the sentiGAN show that the discriminator of sentiGAN is a multi-class classifier, but in your code, I think it is a binary classifier. So the difference between sentiGAN and seqGAN is ju…
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现在vid2vid可以从视频生成视频，下一步是从视频生成速度的序列，采用seqgan https://github.com/LantaoYu/SeqGAN 类似方式进行从视频预测速度的功能。现在cnn网络后面增加了rnn网络进行序列的预测，但是判别器等优化还不完善。
训练数据可以是torcs的运行视频和运行速度的参数，后续就可以吧视频应用与动作的学习了，使用生成模型的方式进行动作的学习（pix…
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Hello!
This is a great effort and has been very useful for my work.
I am trying to change the number of records being generated (and saved to test_file.txt) by changing the generate_num parameter…