steffen/self-replicating-neural-networks
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Path Corrections for Multi os support

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Si11ium
2019-03-04 08:39:44 +01:00
parent 5295b51c28
commit f1a8d8184b
3 changed files with 41 additions and 38 deletions
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38
code/test.py
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@ -10,23 +10,23 @@ def vary(e=0.0, f=0.0):
np.array([[1.0+e], [0.0+f]], dtype=np.float32)
]
net = WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation='sigmoid')
if False:
net.set_weights([
np.array([[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], dtype=np.float32),
np.array([[1.0, 0.0], [0.0, 0.0]], dtype=np.float32),
np.array([[1.0], [0.0]], dtype=np.float32)
])
print(net.get_weights())
net.self_attack(100)
print(net.get_weights())
print(net.is_fixpoint())
if True:
net.set_weights(vary(0.01, 0.0))
print(net.get_weights())
for _ in range(5):
net.self_attack()
if __name__ == '__main__':
net = WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation='sigmoid')
if False:
net.set_weights([
np.array([[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], dtype=np.float32),
np.array([[1.0, 0.0], [0.0, 0.0]], dtype=np.float32),
np.array([[1.0], [0.0]], dtype=np.float32)
])
print(net.get_weights())
print(net.is_fixpoint())
net.self_attack(100)
print(net.get_weights())
print(net.is_fixpoint())
if True:
net.set_weights(vary(0.01, 0.0))
print(net.get_weights())
for _ in range(5):
net.self_attack()
print(net.get_weights())
print(net.is_fixpoint())