Vertex AI: como treinar e disponibilizar um modelo personalizado avaliações

suhil l. · Revisado há 10 months

Sarah A. · Revisado há 10 months

Sathya Jothi S. · Revisado há 10 months

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 10 months

Magarajothika M. · Revisado há 10 months

ok

Dharmaraj P. · Revisado há 10 months

Eka W. · Revisado há 10 months

Akhid Y. · Revisado há 10 months

NICE

003_ A. · Revisado há 10 months

Jay K. · Revisado há 10 months

Adabara A. · Revisado há 10 months

Beatriz L. · Revisado há 10 months

Gavriel D. · Revisado há 10 months

excelente

Rodolfo Z. · Revisado há 10 months

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 10 months

Henry G. · Revisado há 10 months

excelente

Rodolfo Z. · Revisado há 10 months

Mohit T. · Revisado há 10 months

Maksim P. · Revisado há 10 months

Merci beacoup

Kamurasi J. · Revisado há 10 months

faidhol a. · Revisado há 10 months

Naura J. · Revisado há 10 months

Anubhav M. · Revisado há 10 months

Jordan B. · Revisado há 10 months

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 10 months