模型的训练和预测结果：
模型从epochs=0一直到99次迭代后的训练准确率和预测准确率曲线：
模型的简单使用方法：
model = Sequential()
model.add(ClockworkRNN(units=90,
period_spec=[1, 2, 4, 8, 16],
input_shape=train_x.shape[1:], # ---(samples, timesteps, dimension)
dropout_W=0.4,
return_sequences=True,
debug=cwrnn_debug)) # debug is for developing mode, you can remove
model.add(Dropout(.2))
model.add(TimeDistributed(Dense(units=1, activation='linear')))
model.compile(loss='mse', optimizer='sgd', metrics=['accuracy'])
model.fit(train_x, train_y, epochs=epochs, batch_size=1, verbose=1)