Vertex AI: como treinar e disponibilizar um modelo personalizado avaliações

Sathya Jothi S. · Revisado há over 1 year

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. · Revisado há over 1 year

Magarajothika M. · Revisado há over 1 year

ok

Dharmaraj P. · Revisado há over 1 year

Eka W. · Revisado há over 1 year

Akhid Y. · Revisado há over 1 year

NICE

003_ A. · Revisado há over 1 year

Jay K. · Revisado há over 1 year

Adabara A. · Revisado há over 1 year

Beatriz L. · Revisado há over 1 year

Gavriel D. · Revisado há over 1 year

excelente

Rodolfo Z. · Revisado há over 1 year

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. · Revisado há over 1 year

Henry G. · Revisado há over 1 year

excelente

Rodolfo Z. · Revisado há over 1 year

Mohit T. · Revisado há over 1 year

Maksim P. · Revisado há over 1 year

Merci beacoup

Kamurasi J. · Revisado há over 1 year

faidhol a. · Revisado há over 1 year

Naura J. · Revisado há over 1 year

Anubhav M. · Revisado há over 1 year

Jordan B. · Revisado há over 1 year

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. · Revisado há over 1 year

Sheng Han L. · Revisado há over 1 year

imron r. · Revisado há over 1 year