steffen/self-replicating-neural-networks
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Si11ium
2019-03-15 10:15:46 +01:00
parent 70e19dae1e
commit 3ca8dc15a3
29 changed files with 188 additions and 15 deletions
code
aggregated_experiments
exp-fixpoint-density-_6512072410481991-0
all_counters.dillall_names.dillall_notable_nets.dillexperiment.dilllog.txt
exp-known-fixpoint-variation-_1628018115073791-0
experiment.dilllog.txt
exp-learn-from-soup-_3256036231914285-0
all_data.dillall_names.dillexperiment.dilllog.txt
exp-mixed-self-fixpoints-_6512079230926771-0
all_data.dillall_names.dillexperiment.dilllog.txt
exp-mixed-self-fixpoints-_814010367758041-0
all_data.dillall_names.dillexperiment.dilllog.txt
exp-training_fixpoint-_6512086999889633-0
all_counters.dillall_names.dillexperiment.dilllog.txt
setups
learn_from_soup.pymixed-soup.pynetwork_trajectorys.pysoup_trajectorys.py
soup.pyvisualization.py

3
code/setups/mixed-soup.py

@ -75,7 +75,7 @@ with Experiment('mixed-self-fixpoints') as exp:
for trains_per_selfattack in exp.trains_per_selfattack_values:
counters = generate_counters()
notable_nets = []
for _ in tqdm(range(exp.trials)):
for soup_idx 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.with_params(attacking_rate=0.1, learn_from_rate=-1, train=trains_per_selfattack, learn_from_severity=-1)
soup.seed()
@ -84,6 +84,7 @@ with Experiment('mixed-self-fixpoints') as exp:
soup.evolve()
count(counters, soup, notable_nets)
keras.backend.clear_session()
xs += [trains_per_selfattack]
ys += [float(counters['fix_zero']) / float(exp.trials)]
zs += [float(counters['fix_other']) / float(exp.trials)]