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model adds

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jakubknczny 2021-05-15 22:06:36 +02:00
parent b676105f9d
commit 8324f60cd4
1 changed files with 12 additions and 6 deletions
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18
lab5/train/train.py
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@ -16,12 +16,18 @@ Y_test = pd.get_dummies(Y_test)
Y_valid = X_valid.pop('stabf') Y_valid = X_valid.pop('stabf')
Y_valid = pd.get_dummies(Y_valid) Y_valid = pd.get_dummies(Y_valid)
model = tensorflow.keras.Sequential([ # model = tensorflow.keras.Sequential([
layers.Input(shape=(12,)), # layers.Input(shape=(12,)),
layers.Dense(32), # layers.Dense(32),
layers.Dense(16), # layers.Dense(16),
layers.Dense(2, activation='softmax') # layers.Dense(2, activation='softmax')
]) # ])
model = tensorflow.keras.Sequential()
model.add(layers.Input(shape=(12,)))
model.add(layers.Dense(32))
model.add(layers.Dense(16))
model.add(layers.Dense(2, activation='softmax'))
model.compile( model.compile(
loss=tensorflow.keras.losses.BinaryCrossentropy(), loss=tensorflow.keras.losses.BinaryCrossentropy(),