steffen/self-replicating-neural-networks
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Refactor:

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Step 6: Experiments
This commit is contained in:
Si11ium
2019-06-14 18:32:38 +02:00
parent 4a81279b58
commit 5dfbfcaa20
15 changed files with 78 additions and 80 deletions
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8
code/setups/learn_from_soup.py
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@@ -11,7 +11,7 @@ from network import *
from soup import *
import tensorflow.python.keras.backend as K
from tensorflow.python.keras import backend as K
from statistics import mean
avg = mean
@@ -59,7 +59,7 @@ def count(counters, soup, notable_nets=None):
if __name__ == '__main__':
with SoupExperiment('learn-from-soup') as exp:
with SoupExperiment(name='learn-from-soup') as exp:
exp.soup_size = 10
exp.soup_life = 100
exp.trials = 10
@@ -83,10 +83,10 @@ if __name__ == '__main__':
counters = generate_counters()
results = []
for _ in tqdm(range(exp.trials)):
soup = Soup(exp.soup_size, lambda net_generator=net_generator,exp=exp: TrainingNeuralNetworkDecorator(net_generator()).with_params(epsilon=exp.epsilon))
soup = Soup(exp.soup_size, lambda net_generator=net_generator, exp=exp: TrainingNeuralNetworkDecorator(net_generator()).with_params(epsilon=exp.epsilon))
soup.with_params(attacking_rate=-1, learn_from_rate=0.1, train=0, learn_from_severity=learn_from_severity)
soup.seed()
name = str(soup.particles[0].net.__class__.__name__) + " activiation='" + str(soup.particles[0].get_keras_params().get('activation')) + "' use_bias=" + str(soup.particles[0].get_keras_params().get('use_bias'))
name = str(soup.particles[0].name) + " activiation='" + str(soup.particles[0].get_keras_params().get('activation')) + "' use_bias=" + str(soup.particles[0].get_keras_params().get('use_bias'))
for time in range(exp.soup_life):
soup.evolve()
count(counters, soup, notable_nets)