리뷰 Vertex AI: Training and Serving a Custom Model개
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리뷰 Vertex AI: Training and Serving a Custom Model개

리뷰 4542개

Sarah A. · 10개월 전에 리뷰됨

Sathya Jothi S. · 10개월 전에 리뷰됨

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. · 10개월 전에 리뷰됨

Magarajothika M. · 10개월 전에 리뷰됨

ok

Dharmaraj P. · 10개월 전에 리뷰됨

Eka W. · 10개월 전에 리뷰됨

Akhid Y. · 10개월 전에 리뷰됨

NICE

003_ A. · 10개월 전에 리뷰됨

Jay K. · 10개월 전에 리뷰됨

Adabara A. · 10개월 전에 리뷰됨

Beatriz L. · 10개월 전에 리뷰됨

Gavriel D. · 10개월 전에 리뷰됨

excelente

Rodolfo Z. · 10개월 전에 리뷰됨

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. · 10개월 전에 리뷰됨

Henry G. · 10개월 전에 리뷰됨

excelente

Rodolfo Z. · 10개월 전에 리뷰됨

Mohit T. · 10개월 전에 리뷰됨

Maksim P. · 10개월 전에 리뷰됨

Merci beacoup

Kamurasi J. · 10개월 전에 리뷰됨

faidhol a. · 10개월 전에 리뷰됨

Naura J. · 10개월 전에 리뷰됨

Anubhav M. · 10개월 전에 리뷰됨

Jordan B. · 10개월 전에 리뷰됨

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. · 10개월 전에 리뷰됨

Sheng Han L. · 10개월 전에 리뷰됨

Google은 게시된 리뷰가 제품을 구매 또는 사용한 소비자에 의해 작성되었음을 보증하지 않습니다. 리뷰는 Google의 인증을 거치지 않습니다.