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upped some setups, data incoming

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Thomas Gabor
2019-03-15 04:22:59 +01:00
parent 36a852b3ab
commit 70e19dae1e
3 changed files with 13 additions and 10 deletions
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10
code/setups/fixpoint-density.py
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@ -31,14 +31,16 @@ def count(counters, net, notable_nets=[]):
if __name__ == '__main__':
with Experiment('fixpoint-density') as exp:
exp.trials = 100
#NOTE: settings could/should stay this way
#FFT doesn't work though
exp.trials = 100000
exp.epsilon = 1e-4
net_generators = []
for activation in ['linear', 'sigmoid', 'relu']:
# net_generators += [lambda activation=activation: WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
net_generators += [lambda activation=activation: WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
net_generators += [lambda activation=activation: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
# net_generators += [lambda activation=activation: FFTNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
# net_generators += [lambda activation=activation: RecurrentNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
#net_generators += [lambda activation=activation: FFTNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
net_generators += [lambda activation=activation: RecurrentNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
all_counters = []
all_notable_nets = []
all_names = []