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Using (Convolution based) Generative Adversarial Networks to generate text and comparing it with the Wolfram Character Level pretrained model.

wolfr.am/oadvsy6x

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Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
N-gram Distances log		N-gram Distances log
Trained WLNet files		Trained WLNet files
README.md		README.md
WSS20-Suman Sigdel-Project-Notebook.nb		WSS20-Suman Sigdel-Project-Notebook.nb

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Text-Generation-using-GANs

Link to article

Link to the complete notebook

Acknowledgment

Thanks to Stephen Wolfram, Jerome Louradour and Tuseeta Banerjee.

References

Distances between distributions Paper

Generative Adversarial Networks Paper

Contributions

Pull requests are welcome.

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Using (Convolution based) Generative Adversarial Networks to generate text and comparing it with the Wolfram Character Level pretrained model.

wolfr.am/OadvsY6x

text-generation generative-adversarial-network gans wolfram-language text-interpolation

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