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GANの概要とDCGANのアーキテクチャ／アルゴリズム
The document discusses various generative adversarial networks (GANs), specifically focusing on deep convolutional GANs (DCGANs) and their generators and discriminators. It references important papers and resources, including works by Goodfellow et al. and Radford et al., while also mentioning various tools and documentation relevant to deep learning like PyTorch. Additionally, it includes links to lectures and resources for further learning in this area.
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GANの概要とDCGANのアーキテクチャ／アルゴリズム
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- 74. . Deep Learning―Python ,2016 ! PyTorch , 2019 Goodfellow, Ian, et al. Generative adversarial nets., Advances in neural information processing systems. 2014 Radford, Alec, Luke Metz, Soumith Chintala. Unsupervised representation learning with deep convolutional generative adversarial networks., arXiv preprint, arXiv:1511.06434. 2015 Thank you!
- 75. Thank you! CS231n Winter2016: Lecture 13: Segmentation, soft attention, spatial transformers https://youtu.be/ByjaPdWXKJ4 PyTorch documentation https://pytorch.org/docs/