Concepedia

A deep-learning approach to realizing functionality in nanoelectronic devices

Hans-Christian Ruiz Euler, Marcus N. Boon, Jochem T. Wildeboer, Bram van de Ven, Tao Chen, Hajo Broersma, P. A. Bobbert, Wilfred G. van der Wiel

Nature Nanotechnology · 2020 · 75 citations · 38 references

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References

38

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

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Gradient-based learning applied to document recognition

Yann LeCun, Léon Bottou, Yoshua Bengio et al. · Proceedings of the IEEE · 1998 · 58.2K citations · Full text

, , +14

Multilayer feedforward networks are universal approximators

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations

, , +10

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Adam Paszke, Sam Gross, Francisco Massa et al. · arXiv (Cornell University) · 2019 · 16.2K citations · Full text

, , +11

The perceptron: A probabilistic model for information storage and organization in the brain.

Frank F. Rosenblatt · Psychological Review · 1958 · 11.7K citations

, , +13