I am try to train a model using Xception /Inception Model of keras library but I face value error
Dataset which I use it from kaggle commuinity and Notebook which I refer Notebook But I am try to use different Model like Xception /Inception but silmilar idea not work for me
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()
Error WHich I Face
--------------------------------------------------------------------------
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>
Thanks
See Question&Answers more detail:
os 与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…