Whetstone v.0.9.2 Article Swipe
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William Severa
,
Ryan Dellana
,
D Graham
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.11578/dc.20180906.2
· OA: W4405300555
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.11578/dc.20180906.2
· OA: W4405300555
Whetstone is a deep learning software library for spiking/binary threshold neuromorphic hardware. Built to integrate with Keras models, Whetstone provides a collection of layers, callbacks, and utility functions designed to allow the training of integrate-and-fire neurons rather than traditional analog activation functions (e.g. rectified linear units). Generally, training a network for neuromorphic hardware is challenging due to the discontinuity of the activation function. Whetstone overcomes this challenge by using ever-closer continuous approximations of a threshold activation, modified during training time. This allows rapid and consistent training for ultra-low powered neuromorphic hardware.
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