New experiment format
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* Early Stopping initial experiment
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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
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- ( ) Train NN model at an increasing Early Stopping tolerance
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- ( ) Repeat step one with bigger model sizes
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- ( ) At every step capture the energy, performance, and entropy
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- ( ) Record the stopping epoch
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- ( ) Verify that there is a correlation between the stopping epochs and entropy
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* Possible Results
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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.
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* Possible Conclusions
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* Further Work
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