Условие:
def create_model(hidden_layers, neurons):
model = keras.Sequential()
model.add(layers.Dense(neurons, activation='relu', input_shape=(28 * 28,)))
\nfor _ in range(hidden_layers - 1):
model.add(layers.Dense(neurons, activation='relu'))
model.add(layers.Dense(10, activation='softmax'))

