私はKeras
が初めてで、このエラーが発生したときにtext-classification CNN
を使用してPython 3.6
モデルを構築しようとしました:
AttributeError: 'Model' object has no attribute 'name'
これは私が書いたコードです:
print("\nCreating Model...")
x1 = Input(shape=(seq_len1, 100), name='x1')
x2 = Input(shape=(seq_len2, 100), name='x2')
x1 = Reshape((seq_len1, embedding_dim, 1))(x1)
x2 = Reshape((seq_len2, embedding_dim, 1))(x2)
conv_0 = Conv2D(num_filters, kernel_size=(filter_sizes[0], 1), padding='valid', kernel_initializer='normal', activation='relu')
conv_1 = Conv2D(num_filters, kernel_size=(filter_sizes[1], 1), padding='valid', kernel_initializer='normal', activation='relu')
conv_2 = Conv2D(num_filters, kernel_size=(filter_sizes[2], 1), padding='valid', kernel_initializer='normal', activation='relu')
maxpool = MaxPool2D(pool_size=(2, 1), strides=(1,1), padding='valid')
output1 = conv_0(x1)
output1 = maxpool(output1)
output1 = conv_1(output1)
output1 = maxpool(output1)
output1 = conv_2(output1)
output1 = maxpool(output1)
.
.
# Same for output2
.
concatenated_tensor = Concatenate(axis=1)([output1, output2])
flatten = Flatten()(concatenated_tensor)
#dropout = Dropout(drop)(flatten)
output = Dense(units=1024, activation='relu')(flatten)
output = Dense(units=1024, activation='relu')(output)
output = Dense(units=1, activation='softmax')(output)
# this creates a model that includes
model = Model(inputs=[x1, x2], outputs=[output])
最後の行でエラーが発生しました。これを解決するのを手伝ってください
編集:
Traceback (most recent call last):
File "model.py", line 91, in <module>
model = Model(inputs=[x1, x2], outputs=[out])
File "/../../anaconda3/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/../../anaconda3/lib/python3.6/site-packages/keras/engine/network.py", line 91, in __init__
self._init_graph_network(*args, **kwargs)
File "/../../anaconda3/lib/python3.6/site-packages/keras/engine/network.py", line 183, in _init_graph_network
'The tensor that caused the issue was: ' +
AttributeError: 'Model' object has no attribute 'name'
x1およびx2は、入力レイヤー自体ではなく、入力のReshapeレイヤーを指します。