Question

我已经训练了CNN，并相应地保存了它：

model = Sequential()
model.add(Flatten(input_shape=train_data.shape[1:]))
model.add(Dense(256, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(1, activation='sigmoid'))

model.compile(optimizer='rmsprop',
              loss='binary_crossentropy', metrics=['accuracy'])

model.fit(train_data, train_labels,
          epochs=epochs,
          batch_size=batch_size,
          validation_data=(validation_data, validation_labels))
model.save('full_model.h5')

我现在尝试使用以下命令在另一个python脚本中加载模型：

model = tf.keras.models.load_model('full_model.h5')

，并收到以下错误：

    Traceback (most recent call last):
  File "/media/spt/Data/tensorflow_server/get_model.py", line 12, in <module>
    model = tf.keras.models.load_model('full_model.h5')
  File "/home/spt/.conda/envs/dev_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/saving.py", line 229, in load_model
    model = model_from_config(model_config, custom_objects=custom_objects)
  File "/home/spt/.conda/envs/dev_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/saving.py", line 306, in model_from_config
    return deserialize(config, custom_objects=custom_objects)
  File "/home/spt/.conda/envs/dev_env/lib/python3.6/site-packages/tensorflow/python/keras/layers/serialization.py", line 64, in deserialize
    printable_module_name='layer')
  File "/home/spt/.conda/envs/dev_env/lib/python3.6/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 173, in deserialize_keras_object
    list(custom_objects.items())))
  File "/home/spt/.conda/envs/dev_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/sequential.py", line 286, in from_config
    layer = layer_module.deserialize(conf, custom_objects=custom_objects)
  File "/home/spt/.conda/envs/dev_env/lib/python3.6/site-packages/tensorflow/python/keras/layers/serialization.py", line 64, in deserialize
    printable_module_name='layer')
  File "/home/spt/.conda/envs/dev_env/lib/python3.6/site-packages/tensorflow/python/keras/utils/generic_utils.py", line 193, in deserialize_keras_object
    function_name)
ValueError: Unknown layer:name

我遇到了多个描述相同/相似问题的网站，例如stack overflow，github。通常，问题是Keras的过时版本。但就我而言，所有与Keras相关的软件包都是最新的（所有与keras相关的软件包的conda列表输出）：

keras-applications        1.0.6                    py36_0
keras-base                2.2.4                    py36_0
keras-gpu                 2.2.4                         0
keras-preprocessing       1.0.5                    py36_0

有人可以建议我如何解决/解决此问题吗？

Answer 1

如果您使用的是自定义图层，则可以使用以下图层加载keras模型：

model = keras.models.load_model(model_path, custom_objects={'MyCustomLayer': InstanceOfMyCustomLayer})

Answer 2

我遇到了同样的问题，并且在我更新Tensorflow和Keras版本时已经解决了

ValueError：未知图层：加载keras模型时的名称：

2 个答案: