𝜆ₛ: computable semantics for differentiable programming with higher-order functions and datatypes

𝜆ₛ: computable semantics for differentiable programming with higher-order functions and datatypes

© 2021 Owner/Author. Deep learning is moving towards increasingly sophisticated optimization objectives that employ higher-order functions, such as integration, continuous optimization, and root-finding. Since differentiable programming frameworks such as PyTorch and TensorFlow do not have first-cla...

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Detaylı Bibliyografya
Asıl Yazarlar: Sherman, Benjamin, Michel, Jesse, Carbin, Michael
Diğer Yazarlar: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Association for Computing Machinery (ACM) 2021
Online Erişim:https://hdl.handle.net/1721.1/134212

Internet

https://hdl.handle.net/1721.1/134212

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