Como implantar um modelo de classificação de imagens explicável usando a Vertex Explainable AI avaliações

Haneef S. · Revisado há about 1 year

Swarna Sai G. · Revisado há about 1 year

Khusha F. · Revisado há about 1 year

Goodle Course ;)

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MUHAMMAD A. · Revisado há about 1 year

The knowledge confirmation is incomplete, there should be more stages.

Lucas A. · Revisado há about 1 year

Miras C. · Revisado há about 1 year

there is error in notebook

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ABHISHEK K. · Revisado há about 1 year

--------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[23], line 1 ----> 1 local_model = tf.keras.models.load_model(OUTDIR) File ~/.local/lib/python3.10/site-packages/keras/saving/saving_api.py:212, in load_model(filepath, custom_objects, compile, safe_mode, **kwargs) 204 return saving_lib.load_model( 205 filepath, 206 custom_objects=custom_objects, 207 compile=compile, 208 safe_mode=safe_mode, 209 ) 211 # Legacy case. --> 212 return legacy_sm_saving_lib.load_model( 213 filepath, custom_objects=custom_objects, compile=compile, **kwargs 214 ) File ~/.local/lib/python3.10/site-packages/keras/utils/traceback_utils.py:70, in filter_traceback.<locals>.error_handler(*args, **kwargs) 67 filtered_tb = _process_traceback_frames(e.__traceback__) 68 # To get the full stack trace, call: 69 # `tf.debugging.disable_traceback_filtering()` ---> 70 raise e.with_traceback(filtered_tb) from None 71 finally: 72 del filtered_tb File ~/.local/lib/python3.10/site-packages/tensorflow/python/trackable/data_structures.py:823, in _DictWrapper.__getattribute__(self, name) 821 return object.__getattribute__(self, name) 822 else: --> 823 return super().__getattribute__(name) TypeError: this __dict__ descriptor does not support '_DictWrapper' objects

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