Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kushaagra Goyal"'
Publikováno v:
AIP Advances, Vol 9, Iss 12, Pp 125339-125339-6 (2019)
We have implemented a Spiking Neural Network (SNN) architecture using a combination of spin orbit torque driven domain wall devices and transistor based peripheral circuits as both synapses and neurons. Learning in the SNN hardware is achieved both u
Externí odkaz:
https://doaj.org/article/5f26d3f6a3cb464ea20d10489baa8425
We trained Spiking neural network (SNN) using spike time dependent plasticity (STDP)-enabled learning under two different learning schemes in MNIST data set(hand written digit recognition). We showed how the post-neurons need to be far more in number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::089457b69c741f1399d0aaacfbf5e3f2
https://doi.org/10.36227/techrxiv.14757972.v1
https://doi.org/10.36227/techrxiv.14757972.v1
Publikováno v:
2020 5th IEEE International Conference on Emerging Electronics (ICEE).
Autor:
Udayan Ganguly, Utkarsh Saxena, Upasana Sahu, Debanjan Bhowmik, Kushaagra Goyal, Tanmay Chavan
Publikováno v:
2018 4th IEEE International Conference on Emerging Electronics (ICEE).
Hardware implementation of Artificial Neural Network (ANN) algorithms, which are being currently used widely by the data sciences community, provides advantages of memory-computing intertwining, high speed and low energy dissipation which software im
Publikováno v:
AIP Advances, Vol 9, Iss 12, Pp 125339-125339-6 (2019)
We have implemented a Spiking Neural Network (SNN) architecture using a combination of spin orbit torque driven domain wall devices and transistor based peripheral circuits as both synapses and neurons. Learning in the SNN hardware is achieved both u
Publikováno v:
BIODEVICES