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He et al — Deep Residual Learning (ResNet) (2015) · Encyclopedia
Kaiming He et al 2015 ResNet paper introducing skip connections — enabled training of networks 1000+ layers deep.
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Peer topics
- Goodfellow et al — Generative Adversarial Networks (2014)
- Brown et al — GPT-3 (2020)
- Krizhevsky et al — AlexNet (2012)
- Mikolov et al — Word2Vec (2013)
- Brin & Page — The Anatomy of a Search Engine (1998)
- Nakamoto — Bitcoin Whitepaper (2008)
- Silver et al — AlphaGo (2016)
- Turing — On Computable Numbers (1936)
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He et al — Deep Residual Learning (ResNet) (2015) — Kaiming He et al 2015 ResNet paper introducing skip connections — enabled training of networks 1000+ layers deep..
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He et al — Deep Residual Learning (ResNet) (2015) connects out to: Goodfellow et al — Generative Adversarial Networks (2014), Brown et al — GPT-3 (2020), Krizhevsky et al — AlexNet (2012). Each of those topics carries its own cross-nav rail, OPML bundle, FAQ, and printable summary.
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