steffen/self-replicating-neural-networks
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

upped some setups, data incoming

Browse Source
This commit is contained in:
Thomas Gabor
2019-03-15 04:22:59 +01:00
parent 36a852b3ab
commit 70e19dae1e
3 changed files with 13 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
code/setups/training-fixpoints.py
View File

@@ -33,15 +33,15 @@ def count(counters, net, notable_nets=[]):
if __name__ == '__main__':
with Experiment('training_fixpoint') as exp:
exp.trials = 20
exp.run_count = 500
exp.trials = 50
exp.run_count = 1000
exp.epsilon = 1e-4
net_generators = []
for activation in ['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: 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: RecurrentNeuralNetwork(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_counters = []
all_notable_nets = []
all_names = []