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- model = Sequential()
- model.add(GaussianNoise(0.01))
- model.add(Dense(1024, input_shape=(3072,), activation="sigmoid"))
- model.add(Dropout(0.5))
- model.add(Dense(512, activation="sigmoid"))
- model.add(Dense(256, activation="sigmoid"))
- model.add(Dropout(0.5))
- model.add(Dense(len(lb.classes_), activation="softmax"))
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