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soup trajectory and box plot

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Si11ium
2019-03-15 13:42:55 +01:00
parent 1e5bec814d
commit 090546520e
70 changed files with 97 additions and 143 deletions
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6
code/setups/fixpoint-density.py
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@ -36,11 +36,11 @@ if __name__ == '__main__':
exp.trials = 100000
exp.epsilon = 1e-4
net_generators = []
for activation in ['linear', 'sigmoid', 'relu']:
for activation in ['linear']:
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 = []