What is the difference between TextGAN and LM for text generation?Can we generate huge dataset with Generative Adversarial NetworksWhat is the purpose of the discriminator in an adversarial autoencoder?Strange patterns from GANText generation using Tensor FactorizationWhat does discriminator of a GAN should do?GANs (generative adversarial networks) possible for text as well?Generator loss not decreasing- text to image synthesisChoosing a right algorithm for template-based text generationHow should I format input and output for text generation with LSTMsWhat is the interpretation of the expectation notation in the GAN formulation?
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What is the difference between TextGAN and LM for text generation?
Can we generate huge dataset with Generative Adversarial NetworksWhat is the purpose of the discriminator in an adversarial autoencoder?Strange patterns from GANText generation using Tensor FactorizationWhat does discriminator of a GAN should do?GANs (generative adversarial networks) possible for text as well?Generator loss not decreasing- text to image synthesisChoosing a right algorithm for template-based text generationHow should I format input and output for text generation with LSTMsWhat is the interpretation of the expectation notation in the GAN formulation?
$begingroup$
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 can also be used to generate text.
neural-network deep-learning natural-language-process gan text-generation
$endgroup$
add a comment |
$begingroup$
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 can also be used to generate text.
neural-network deep-learning natural-language-process gan text-generation
$endgroup$
add a comment |
$begingroup$
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 can also be used to generate text.
neural-network deep-learning natural-language-process gan text-generation
$endgroup$
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 can also be used to generate text.
neural-network deep-learning natural-language-process gan text-generation
neural-network deep-learning natural-language-process gan text-generation
edited 3 hours ago
不是phd的phd
asked Mar 11 at 7:39
不是phd的phd不是phd的phd
1857
1857
add a comment |
add a comment |
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