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GitHub / Shikhargupta / Spiking-Restricted-Boltzmann-Machine

RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shikhargupta%2FSpiking-Restricted-Boltzmann-Machine
PURL: pkg:github/Shikhargupta/Spiking-Restricted-Boltzmann-Machine

Stars: 26
Forks: 10
Open issues: 0

License: None
Language: Python
Size: 4.21 MB
Dependencies parsed at: Pending

Created at: over 7 years ago
Updated at: almost 2 years ago
Pushed at: over 7 years ago
Last synced at: almost 2 years ago

Topics: contrastive-divergence-algorithm, mnist-handwriting-recognition, neuromorphic-engineering, neuromorphic-hardware, python, restricted-boltzmann-machine, spike-time-dependent-plasticity, spike-trains, spiking-neural-networks, synapse

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