Keras tensorflow2中的连接层

Question

我试图在keras tensorflow2中连接层：

initialinputs = Input(shape = (500, 4),name="sequences")

conv1d1 = Conv1D(hyperparameters['conv1_hidden_units'],
                activation='relu',
                kernel_size=hyperparameters['conv1_filter_size'],
                input_shape=(500, 4),
                padding='same')(initialinputs)
maxpool1 = MaxPooling1D(pool_size=hyperparameters['maxpool1_width'])(conv1d1)
dropout1 = Dropout(0.1)(maxpool1)
conv1d2 = Conv1D(hyperparameters['conv2_hidden_units'],
                activation='relu',
                kernel_size=hyperparameters['conv2_filter_size'],
                input_shape=(500, 4),
                padding='same')(dropout1)
maxpool2 = MaxPooling1D(pool_size=hyperparameters['maxpool2_width'])(conv1d2)
dropout2 = Dropout(0.1)(maxpool2)
conv1d3 = Conv1D(hyperparameters['conv3_hidden_units'],
                activation='relu',
                kernel_size=hyperparameters['conv3_filter_size'],
                input_shape=(500, 4),
                padding='same')(dropout2)
maxpool3 = MaxPooling1D(pool_size=hyperparameters['maxpool3_width'])(conv1d3)
dropout3 = Dropout(0.1)(maxpool3)
flatten = Flatten()(dropout3)

otherInp = Input(shape = (11,),name="coverage")
concatenatedFeatures = Concatenate(axis=1)([flatten, otherInp])

out = Dense(hyperparameters['num_classes'], activation='softmax')(concatenatedFeatures)

model = Model(inputs = [initialinputs, otherInp], outputs = out)

但我一直收到错误信息：

ValueError: Error when checking input: expected coverage to have shape (11,) but got array with shape (1,)

我认为我在这里明显缺少一些东西，我已经对StackOverflow进行了搜索，似乎无法找到解决方案。任何想法都将不胜感激！

Answer 1

我错误地加载了'otherInp‘，因此它确实有形状(1，)，改变了它，并且它工作得很好。谢谢你的帮忙!