{"id":36391,"date":"2024-11-01T09:48:07","date_gmt":"2024-11-01T09:48:07","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=36391"},"modified":"2024-11-01T11:00:06","modified_gmt":"2024-11-01T11:00:06","slug":"deep-learning-gan-using-pytorch-question-answer-generator","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/36391\/","title":{"rendered":"Deep Learning GAN using PyTorch, Question-Answer Generator"},"content":{"rendered":"

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In recent years, the rapid development of artificial intelligence (AI) technology has greatly improved the field of Natural Language Processing (NLP). In particular, Generative Adversarial Networks (GAN) are a powerful technique used to create new data samples. In this post, we will discuss how to implement GAN using PyTorch and the process of creating a question-answer generator.<\/p>\n

1. Overview of GAN<\/h2>\n

Generative Adversarial Networks (GAN) are a machine learning framework introduced by Ian Goodfellow in 2014, where two neural networks, the Generator and the Discriminator, are trained in a competitive manner.<\/p>\n