additional tex

code/setups/experiments/exp-mixed-self-fixpoints-_1552658653.1189044-0/log.txt

@@ -1,4 +0,0 @@
-TrainingNeuralNetworkDecorator activiation='linear' use_bias=False
-{'xs': [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100], 'ys': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], 'zs': [0.0, 0.0, 0.6, 1.8, 2.7, 5.1, 5.8, 7.8, 8.5, 9.0, 8.8]}
-
-

code/setups/experiments/exp-mixed-self-fixpoints-_1552666977.5858653-0/log.txt

@@ -1,12 +0,0 @@
-WeightwiseNeuralNetwork activiation='linear' use_bias=False
-{'xs': [0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500], 'ys': [0.2, 0.3, 0.15, 0.55, 0.7, 0.85, 0.8, 0.95, 0.9, 1.0, 1.0]}
-
-
-AggregatingNeuralNetwork activiation='linear' use_bias=False
-{'xs': [0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500], 'ys': [1.0, 0.95, 1.0, 1.0, 0.95, 0.9, 0.8, 1.0, 0.85, 1.0, 0.9]}
-
-
-RecurrentNeuralNetwork activiation='linear' use_bias=False
-{'xs': [0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500], 'ys': [0.05, 0.0, 0.05, 0.0, 0.0, 0.1, 0.1, 0.05, 0.1, 0.0, 0.0]}
-
-

code/setups/mixed-soup.py

@@ -54,7 +54,7 @@ def count(counters, soup, notable_nets=[]):
 
 if __name__ == '__main__':
 
-    with Experiment('mixed-self-fixpoints') as exp:
+    with Experiment('mixed-soup') as exp:
         exp.trials = 10
         exp.soup_size = 10
         exp.soup_life = 5