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You're reading from  Generative AI with Python and TensorFlow 2

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Published inApr 2021
PublisherPackt
ISBN-139781800200883
Edition1st Edition
Concepts
Artificial Intelligence
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Authors (2):
Joseph Babcock
Joseph Babcock
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Joseph Babcock


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Raghav Bali
Raghav Bali
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Raghav Bali


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References

  1. Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient Estimation of Word Representations in Vector Space. arXiv. https://arxiv.org/abs/1301.3781
  2. Rumelhart, D.E., & McClelland, J.L. (1987). Distributed Representations, in Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations, pp.77-109. MIT Press. https://web.stanford.edu/~jlmcc/papers/PDP/Chapter3.pdf
  3. Pennington, J., Socher, R., & Manning, C.D. (2014). GloVe: Global Vectors for Word Representation. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). https://nlp.stanford.edu/pubs/glove.pdf
  4. Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2017). Enriching Word Vectors with Subword Information. arXiv. https://arxiv.org/abs/1607.04606
  5. Holtzman, A., Buys, J., Du, L., Forbes, M., & Choi, Y. (2019). The Curious Case of Neural Text Degeneration. arXiv. https://arxiv.org/abs/1904...
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Generative AI with Python and TensorFlow 2
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