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note_chi_giang.md

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@@ -16,7 +16,25 @@ LSTM, GRU => SMAPE: 3-4%
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MLP ==> SMAPE: 8%
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## Giang's test on CPU
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1. FL-GANN
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* SMAPE: 5% => 8%
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* Time: 4000s => 7000s (1h < x < 2h)
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* The differents are
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* % split dataset (train, valid, test) = (33%, 33%, 33%)
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* Epoch: 700, Pop size: 250
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* Normalize the whole data before split it (This is a problem need to think about it)
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2. LSTM
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* SMAPE:
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* Time:
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* 1 Hidden Layer
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* Depend on programing languagues and server architecture (even setup code tensorflow to run on 2 CPU, but its still
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use 8 CPU and not all 100% CPU on server) ==> Effect Time Consuming
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