Opinie (Vertex AI: Training and Serving a Custom Model)

Sarah A. · Sprawdzono 10 miesięcy temu

Sathya Jothi S. · Sprawdzono 10 miesięcy temu

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. · Sprawdzono 10 miesięcy temu

Magarajothika M. · Sprawdzono 10 miesięcy temu

ok

Dharmaraj P. · Sprawdzono 10 miesięcy temu

Eka W. · Sprawdzono 10 miesięcy temu

Akhid Y. · Sprawdzono 10 miesięcy temu

NICE

003_ A. · Sprawdzono 10 miesięcy temu

Jay K. · Sprawdzono 10 miesięcy temu

Adabara A. · Sprawdzono 10 miesięcy temu

Beatriz L. · Sprawdzono 10 miesięcy temu

Gavriel D. · Sprawdzono 10 miesięcy temu

excelente

Rodolfo Z. · Sprawdzono 10 miesięcy temu

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. · Sprawdzono 10 miesięcy temu

Henry G. · Sprawdzono 10 miesięcy temu

excelente

Rodolfo Z. · Sprawdzono 10 miesięcy temu

Mohit T. · Sprawdzono 10 miesięcy temu

Maksim P. · Sprawdzono 10 miesięcy temu

Merci beacoup

Kamurasi J. · Sprawdzono 10 miesięcy temu

faidhol a. · Sprawdzono 10 miesięcy temu

Naura J. · Sprawdzono 10 miesięcy temu

Anubhav M. · Sprawdzono 10 miesięcy temu

Jordan B. · Sprawdzono 10 miesięcy temu

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. · Sprawdzono 10 miesięcy temu

Sheng Han L. · Sprawdzono 10 miesięcy temu