请问是这样修改吗? embedding = Embedding(input_dim=10000, output_dim=300, mask_zero=True)(lstm1) bidirectional = Bidirectional(LSTM(units=32, return_sequences=True))(embedding) dense1 = Dense(units=32)(bidirectional) dense2 = Dense(units=5)(dense1) dense2 = Dense(1, activation='linear', name='output')(dense2) dense2 = Reshape((5, 1))(dense2) model = Model(inputs=[input_data1, input_data2], outputs=dense2)
时间: 2023-12-07 12:05:21 浏览: 85
不完全正确。在你提供的代码中,你使用了名为`lstm1`的变量,但在之前的代码中没有定义。另外,你在`dense2`中定义了`Dense(units=5)`,但是根据你之前提供的信息,输出的形状应该是`(4755, 5, 1)`。因此,在模型定义中,需要将`Dense(units=5)`修改为`Dense(units=1)`,然后再添加`Reshape((5, 1))`来调整输出的形状。
下面是修改后的代码示例:
```
input1 = Input(shape=(48, 23))
input2 = Input(shape=(60, 23))
embedding = Embedding(input_dim=10000, output_dim=300, mask_zero=True)(input1)
bidirectional = Bidirectional(LSTM(units=32, return_sequences=True))(embedding)
dense1 = Dense(units=32)(bidirectional)
embedding2 = Embedding(input_dim=10000, output_dim=300, mask_zero=True)(input2)
bidirectional2 = Bidirectional(LSTM(units=32, return_sequences=True))(embedding2)
dense2 = Dense(units=32)(bidirectional2)
concat = concatenate([dense1, dense2])
x = Dense(units=64)(concat)
x = Dense(units=16)(x)
output = Dense(units=1, activation='linear', name='output')(x)
output = Reshape((5, 1))(output)
model = Model(inputs=[input1, input2], outputs=output)
```
希望这些信息可以帮助你解决问题。
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