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Supervised mnist parameters change#387

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Merged
Hananel-Hazan merged 2 commits into from
Jun 22, 2020
Merged

Supervised mnist parameters change #387

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88d18f2
changing nu parameters to increase accracy
Hananel-Hazan Jun 22, 2020
ea88f10
changing nu parameters to increase accracy
Hananel-Hazan Jun 22, 2020
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7 changes: 2 additions & 5 deletions examples/mnist/supervised_mnist.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -87,7 +87,7 @@
exc=exc,
inh=inh,
dt=dt,
nu=[1e-2, 1e-4],
nu=[1e-10, 1e-3], # 0.711
norm=78.4,
theta_plus=theta_plus,
inpt_shape=(1, 28, 28),
Expand DownExpand Up@@ -241,11 +241,8 @@
print("Progress: %d / %d \n" % (n_train, n_train))
print("Training complete.\n")


print("Testing....\n")



# Load MNIST data.
test_dataset = MNIST(
PoissonEncoder(time=time, dt=dt),
Expand DownExpand Up@@ -307,7 +304,7 @@
pbar.update()

print("\nAll activity accuracy: %.2f" % (accuracy["all"] / test_dataset.test_labels.shape[0]))
print("Proportion weighting accuracy: %.2f \n" % (accuracy["proportion"] / test_dataset.test_labels.shape[0]))
print("Proportion weighting accuracy: %.2f \n" % (accuracy["proportion"] / test_dataset.test_labels.shape[0]))


print("Testing complete.\n")