jada swiry
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10
run3.py
10
run3.py
@ -24,15 +24,15 @@ model = Sequential(
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[
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Dense(1024, activation="relu", input_dim=73),
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Dense(512, activation="relu"),
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tensorflow.keras.layers.BatchNormalization(),
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# tensorflow.keras.layers.BatchNormalization(),
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Dense(512 // 2, activation="relu"),
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tensorflow.keras.layers.BatchNormalization(),
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# tensorflow.keras.layers.BatchNormalization(),
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Dense(512 // 4, activation="relu"),
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tensorflow.keras.layers.BatchNormalization(),
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# tensorflow.keras.layers.BatchNormalization(),
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Dense(512 // 8, activation="relu"),
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tensorflow.keras.layers.BatchNormalization(),
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# tensorflow.keras.layers.BatchNormalization(),
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Dense(32, activation="relu"),
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tensorflow.keras.layers.BatchNormalization(),
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# tensorflow.keras.layers.BatchNormalization(),
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Dense(1, activation="linear"),
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]
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)
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1440
test-A/out.tsv
1440
test-A/out.tsv
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