diff options
| author | Tanner Robison <[email protected]> | 2026-07-06 10:35:32 -0700 |
|---|---|---|
| committer | Tanner Robison <[email protected]> | 2026-07-07 15:42:48 -0700 |
| commit | e2b30976cdaccf9d2b9820fefa22ced03c82711f (patch) | |
| tree | 99f1d6d5824882a533f46f1819138ec5196abed3 /neurobench_testing/examples/gsc/SNN.py | |
| parent | 3a17db637fd41015df26f1cceb0d1c098e85d436 (diff) | |
readout layer trained
verified with time-series forecasting task and plotted
Diffstat (limited to 'neurobench_testing/examples/gsc/SNN.py')
| -rw-r--r-- | neurobench_testing/examples/gsc/SNN.py | 17 |
1 files changed, 0 insertions, 17 deletions
diff --git a/neurobench_testing/examples/gsc/SNN.py b/neurobench_testing/examples/gsc/SNN.py deleted file mode 100644 index 1642e28..0000000 --- a/neurobench_testing/examples/gsc/SNN.py +++ /dev/null @@ -1,17 +0,0 @@ -from torch import nn -import snntorch as snn -from snntorch import surrogate - -beta = 0.9 -spike_grad = surrogate.fast_sigmoid() -net = nn.Sequential( - nn.Flatten(), - nn.Linear(20, 256), - snn.Leaky(beta=beta, spike_grad=spike_grad, init_hidden=True), - nn.Linear(256, 256), - snn.Leaky(beta=beta, spike_grad=spike_grad, init_hidden=True), - nn.Linear(256, 256), - snn.Leaky(beta=beta, spike_grad=spike_grad, init_hidden=True), - nn.Linear(256, 35), - snn.Leaky(beta=beta, spike_grad=spike_grad, init_hidden=True, output=True), -)
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