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GitHub / sameershinde14 / Deep-Residual-Networks-using-Exponential-Linear-Unit

• Designed deep residual learning model with exponential linear unit for image classification with higher accuracy. • Decreased the error rate to 5.62% and 26.55% on CIFAR-10 and CIFAR-100 datasets respectively which outpaced the most competitive approaches previously published. • Published research paper for the same on 21th Sept 2016 at ACM conference.

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Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Lua
Size: 43 KB
Dependencies parsed at: Pending

Created at: over 6 years ago
Updated at: over 1 year ago
Pushed at: over 6 years ago
Last synced at: over 1 year ago

Topics: deep-learning, deep-neural-networks, elu-activation, lua, residual-networks

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