关于“Vertex AI: Training and Serving a Custom Model”的评价
4542 条评价
Sarah A. · 已于 10 months前审核
Sathya Jothi S. · 已于 10 months前审核
This was one of the most challenging and interesting labs in this course. I liked the multitasking and the multiple steps I had to go through an learn. Very interesting, thanks for the lab!
Ievhen S. · 已于 10 months前审核
Magarajothika M. · 已于 10 months前审核
ok
Dharmaraj P. · 已于 10 months前审核
Eka W. · 已于 10 months前审核
Akhid Y. · 已于 10 months前审核
NICE
003_ A. · 已于 10 months前审核
Jay K. · 已于 10 months前审核
Adabara A. · 已于 10 months前审核
Beatriz L. · 已于 10 months前审核
Gavriel D. · 已于 10 months前审核
excelente
Rodolfo Z. · 已于 10 months前审核
Traceback (most recent call last): File "/opt/conda/lib/python3.7/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/opt/conda/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/trainer/train.py", line 159, in <module> model.save(BUCKET + '/mpg/model') File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py", line 1974, in save signatures, options) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/saving/save.py", line 134, in save_model signatures, options) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/saving/saved_model/save.py", line 80, in save save_lib.save(model, filepath, signatures, options) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/saved_model/save.py", line 981, in save utils_impl.get_or_create_variables_dir(export_dir) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/saved_model/utils_impl.py", line 213, in get_or_create_variables_dir if not file_io.file_exists(variables_dir): File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/lib/io/file_io.py", line 249, in file_exists return file_exists_v2(filename) File "/opt/conda/lib/python3.7/site-packages/tensorflow/python/lib/io/file_io.py", line 267, in file_exists_v2 _pywrap_file_io.FileExists(compat.as_bytes(path)) tensorflow.python.framework.errors_impl.PermissionDeniedError: Error executing an HTTP request: HTTP response code 403 with body '{ "error": { "code": 403, "message": "462557502078-compute@developer.gserviceaccount.com does not have storage.objects.get access to the Google Cloud Storage object. Permission 'storage.objects.get' denied on resource (or it may not exist).", "errors": [ { "message": "462557502078-compute@developer.gserviceaccount.com does not have storage.objects.get access to the Google Cloud Storage object. Permission 'storage.objects.get' denied on resource (or it may not exist)."' when reading metadata of gs://your-gcs-bucket/mpg/model/variables
Jon O. · 已于 10 months前审核
Henry G. · 已于 10 months前审核
excelente
Rodolfo Z. · 已于 10 months前审核
Mohit T. · 已于 10 months前审核
Maksim P. · 已于 10 months前审核
Merci beacoup
Kamurasi J. · 已于 10 months前审核
faidhol a. · 已于 10 months前审核
Naura J. · 已于 10 months前审核
Anubhav M. · 已于 10 months前审核
Jordan B. · 已于 10 months前审核
A lot more information about how inference works would be very helpful. It is not clear how well this method scales, or if it is only for testing. It is also very unclear how the model is loaded and run for prediction. This makes it difficult to understand how other models, like jax and pytorch would work.
Andrew B. · 已于 10 months前审核
Sheng Han L. · 已于 10 months前审核
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