我将两个LSTM模型的两个掩蔽层合并如下:model.fit([X1,X2], Y,batch_size=128, nb_epoch=20, validation_split=0.05)
TypeError: The added layermust be an instance of class Layer.Received: layer=KerasTensor(type_spec=TensorSpec(shape=(None, 1
我是机器学习的新手。我跟踪这个的微调VGG16模型。模型很好地加载了以下代码:但是得到了这个错误:
TypeError: The added layermust be an instance of class Layer.Found: <tensorflow.python.keras.engine.input_layer.InputLayer object at 0x0