steffen/self-replicating-neural-networks
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Si11ium
2019-03-14 16:40:29 +01:00
parent 7d45a9d8be
commit fd215be5de
7 changed files with 23 additions and 12 deletions
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11
code/setups/learn_from_soup.py
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@@ -61,15 +61,15 @@ def count(counters, soup, notable_nets=[]):
with SoupExperiment('learn-from-soup') as exp:
exp.soup_size = 10
exp.soup_life = 100
exp.trials = 10
exp.soup_life = 1000
exp.trials = 20
exp.learn_from_severity_values = [10 * i for i in range(11)]
exp.epsilon = 1e-4
net_generators = []
for activation in ['sigmoid']: #['linear', 'sigmoid', 'relu']:
for use_bias in [False]:
net_generators += [lambda activation=activation, use_bias=use_bias: WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
# net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
# net_generators += [lambda activation=activation, use_bias=use_bias: RecurrentNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
all_names = []
@@ -95,7 +95,10 @@ with SoupExperiment('learn-from-soup') as exp:
ys += [float(counters['fix_zero']) / float(exp.trials)]
zs += [float(counters['fix_other']) / float(exp.trials)]
all_names += [name]
all_data += [{'xs':xs, 'ys':ys, 'zs':zs}] #xs: learn_from_intensity according to exp.learn_from_intensity_values, ys: zero-fixpoints after life time, zs: non-zero-fixpoints after life time
# xs: learn_from_intensity according to exp.learn_from_intensity_values
# ys: zero-fixpoints after life time
# zs: non-zero-fixpoints after life time
all_data += [{'xs':xs, 'ys':ys, 'zs':zs}]
exp.save(all_names=all_names)
exp.save(all_data=all_data)