Open AccessReversible Architectures for Arbitrarily Deep Residual Neural Networks
Author(s) -
Bo Chang,
Lili Meng,
Eldad Haber,
Lars Ruthotto,
David Begert,
Elliot Holtham
Publication year - 2018
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.11668
Subject(s) - residual , computer science , artificial neural network , ode , property (philosophy) , deep learning , artificial intelligence , deep neural networks , stability (learning theory) , interpretation (philosophy) , ordinary differential equation , theoretical computer science , machine learning , computer engineering , algorithm , differential equation , mathematics , programming language , mathematical analysis , philosophy , epistemology
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom