Vertex AI: Training and Serving a Custom Model Reviews

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. · Reviewed 10 أشهر ago

Magarajothika M. · Reviewed 10 أشهر ago

ok

Dharmaraj P. · Reviewed 10 أشهر ago

Eka W. · Reviewed 10 أشهر ago

Akhid Y. · Reviewed 10 أشهر ago

NICE

003_ A. · Reviewed 10 أشهر ago

Jay K. · Reviewed 10 أشهر ago

Adabara A. · Reviewed 10 أشهر ago

Beatriz L. · Reviewed 10 أشهر ago

Gavriel D. · Reviewed 10 أشهر ago

excelente

Rodolfo Z. · Reviewed 10 أشهر ago

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. · Reviewed 10 أشهر ago

Henry G. · Reviewed 10 أشهر ago

excelente

Rodolfo Z. · Reviewed 10 أشهر ago

Mohit T. · Reviewed 10 أشهر ago

Maksim P. · Reviewed 10 أشهر ago

Merci beacoup

Kamurasi J. · Reviewed 10 أشهر ago

faidhol a. · Reviewed 10 أشهر ago

Naura J. · Reviewed 10 أشهر ago

Anubhav M. · Reviewed 10 أشهر ago

Jordan B. · Reviewed 10 أشهر ago

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. · Reviewed 10 أشهر ago

Sheng Han L. · Reviewed 10 أشهر ago

imron r. · Reviewed 10 أشهر ago

Godwin A. · Reviewed 10 أشهر ago