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

TANNEERU C. · Revisado há over 1 year

ABHILASH REDDY N. · Revisado há over 1 year

Shaik M. · Revisado há over 1 year

KOTHA A. · Revisado há over 1 year

Darshan M. · Revisado há over 1 year

It's M. · Revisado há over 1 year

Rahul Y. · Revisado há over 1 year

shameer s. · Revisado há over 1 year

Sai Geethika K. · Revisado há over 1 year

Padarthi A. · Revisado há over 1 year

B K K. · Revisado há over 1 year

Sanjib C. · Revisado há over 1 year

Mrinal V. · Revisado há over 1 year

V R SHUSHMA R. · Revisado há over 1 year

Kiruthika V. · Revisado há over 1 year

madhav kartikey m. · Revisado há over 1 year

awesome

BOLA HARI K. · Revisado há over 1 year

Srinivas S. · Revisado há over 1 year

Anirban s. · Revisado há over 1 year

2203 A. · Revisado há over 1 year

Ganesh G. · Revisado há over 1 year

Anita P. · Revisado há over 1 year

Notebook doesn't work xai_image_vertex.ipynb --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[34], 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

Allen Y. · Revisado há over 1 year

Harshitha K. · Revisado há over 1 year

aravind p. · Revisado há over 1 year