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Created September 21, 2020 16:18
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built.py
model = Sequential()
model.add(Dense(30, activation='relu', input_shape=(train_x.shape[1],)))
model.add(Dense(train_y.shape[1], activation='softmax'))
model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=0.001), loss='categorical_crossentropy', metrics=['accuracy'])
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