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GitHub / arbiter1elegantiae / Robustness-of-deep-neural-networks-with-trainable-activation-functions

Robustness of Deep Neural Networks using Trainable Activation Functions

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arbiter1elegantiae%2FRobustness-of-deep-neural-networks-with-trainable-activation-functions

Stars: 2
Forks: 0
Open issues: 2

License: mit
Language: Jupyter Notebook
Size: 179 MB
Dependencies parsed at: Pending

Created at: about 5 years ago
Updated at: about 4 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago

Topics: activation-functions, deep-learning, kaf-nets, kernel-methods, neural-networks, resnets, tensorflow2

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