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Network architecture dependence #1
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Great, so two layers with the same number of neurons achieves a lower loss, better generalization and even trains faster? :) |
i think the improvement in training time is not that much, but going from 200s to 120s is still an improvement. |
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A simple feedforward network with 10 -> 100 -> 1 structure does a really good job already, so we don't even have to try more complicated network types. But we should:
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