from tensorflow.keras.layers import Dense, Flatten, BatchNormalization,Dropout #3층 신경망 model = models.Sequential() model.add(layers.Dense(100, activation = 'relu', input_shape = (41, ))) model.add(BatchNormalization()) model.add(Dropout(0.1)) model.add(layers.Dense(50, activation = 'relu')) model.add(BatchNormalization()) model.add(Dropout(0.1)) model.add(layers.Dense(50, activation = 'relu')) model.add(BatchNormalization()) model.add(Dropout(0.1)) model.add(layers.Dense(2, activation = 'softmax')) model.summary()
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