什么应该将输出形状的keras层模型

我点困惑输出形状的keras层。 我已经创建了一个样本keras模型，也显示其摘要。

numberOfLSTMcells=1
n_timesteps_in=129
n_features=61
inp =Input(shape=(n_timesteps_in, n_features))
lstm= LSTM(numberOfLSTMcells,return_sequences=True, return_state=False) (inp)
fc=Dense(64,activation='relu',name='hidden_layer')(lstm)
out=Dense(1,activation='sigmoid',name='last_layer')(fc)
model = Model(inputs=inp, outputs=out)

摘要的模型

Model: "model_1"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_3 (InputLayer)         [(None, 129, 61)]         0         
_________________________________________________________________
lstm_2 (LSTM)                (None, 129, 1)            252       
_________________________________________________________________
hidden_layer (Dense)         (None, 129, 64)           128       
_________________________________________________________________
last_layer (Dense)           (None, 129, 1)            65        
=================================================================
Total params: 445
Trainable params: 445
Non-trainable params: 0

我想什么形状的最后一层应 (None,64,1). 因为hidden_layers有64个神经元转为输入到last_layer