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+* Early Stopping initial experiment
+  With this experiment we try to verify empirically that as Early Stopping tolerance increases (to bigger values) we obtain the correct estimate of the correct epoch to stop training
+  - ( ) Train NN model at an increasing Early Stopping tolerance
+  - ( ) Repeat step one with bigger model sizes
+  - ( ) At every step capture the energy, performance, and entropy
+  - ( ) Record the stopping epoch
+  - ( ) Verify that there is a correlation between the stopping epochs and entropy
+
+* Possible Results
+  We expect that the results show a correlation between an increase on complexity and stopping epoch i.e. as we increase Early Stopping tolenrance the complexity will either increase or decrease.
+
+* Possible Conclusions
+
+
+
+* Further Work