Question

我尝试使用keras库的Xception / Inception Model训练模型，但我遇到价值错误

我从kaggle社区使用的数据集和我引用的笔记本Notebook，但我尝试使用不同的模型，例如Xception / Inception，但silmilar的想法对我不起作用

with strategy.scope():
    enet = keras.applications.inception_v3.InceptionV3(
        input_shape=(512, 512, 3),
        weights='imagenet',
        include_top=False
)

model = tf.keras.Sequential([
    enet,
    tf.keras.layers.GlobalAveragePooling2D(),
    tf.keras.layers.Dense(len(CLASSES), activation='softmax')
])

model.compile(
    optimizer=tf.keras.optimizers.Adam(lr=0.0001),
    loss = 'sparse_categorical_crossentropy',
    metrics=['sparse_categorical_accuracy']
)
 model.summary()

我面对的错误

--------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-29-30d5c6cc8c12> in <module>
     11         enet,
     12         tf.keras.layers.GlobalAveragePooling2D(),
---> 13         tf.keras.layers.Dense(len(CLASSES), activation='softmax')
     14     ])
     15 

/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/training/tracking/base.py in 
_method_wrapper(self, *args, **kwargs)
    455     self._self_setattr_tracking = False  # pylint: disable=protected-access
    456     try:
--> 457       result = method(self, *args, **kwargs)
    458     finally:
    459       self._self_setattr_tracking = previous_value  # pylint: disable=protected-access

/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/sequential.py in 
 __init__(self, layers, name)
    114       tf_utils.assert_no_legacy_layers(layers)
    115       for layer in layers:
--> 116         self.add(layer)
    117 
    118   @property

  /opt/conda/lib/python3.6/site-packages/tensorflow_core/python/training/tracking/base.py in 
 _method_wrapper(self, *args, **kwargs)
    455     self._self_setattr_tracking = False  # pylint: disable=protected-access
    456     try:
--> 457       result = method(self, *args, **kwargs)
    458     finally:
    459       self._self_setattr_tracking = previous_value  # pylint: disable=protected-access

/opt/conda/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/sequential.py in add(self, 
layer)
    159       raise TypeError('The added layer must be '
    160                       'an instance of class Layer. '
--> 161                       'Found: ' + str(layer))
    162 
    163     tf_utils.assert_no_legacy_layers([layer])

TypeError: The added layer must be an instance of class Layer. Found: <keras.engine.training.Model 
object at 0x7fa5bee17ac8>

谢谢

Answer 1

您正在keras和tf.keras库之间混合导入，它们不是同一库，因此不支持此组合。

您可以导入tf.keras.applications来访问InceptionV3。

TypeError：添加的图层必须是类Layer的实例。找到：<keras.engine.training.Model对象位于0x7fa5bee17ac8>

1 个答案: