Vertex AI: Training and Serving a Custom Model Ulasan
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Vertex AI: Training and Serving a Custom Model Ulasan

4465 ulasan

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. · Diulas 10 bulan lalu

Magarajothika M. · Diulas 10 bulan lalu

ok

Dharmaraj P. · Diulas 10 bulan lalu

Eka W. · Diulas 10 bulan lalu

Akhid Y. · Diulas 10 bulan lalu

NICE

003_ A. · Diulas 10 bulan lalu

Jay K. · Diulas 10 bulan lalu

Adabara A. · Diulas 10 bulan lalu

Beatriz L. · Diulas 10 bulan lalu

Gavriel D. · Diulas 10 bulan lalu

excelente

Rodolfo Z. · Diulas 10 bulan lalu

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. · Diulas 10 bulan lalu

Henry G. · Diulas 10 bulan lalu

excelente

Rodolfo Z. · Diulas 10 bulan lalu

Mohit T. · Diulas 10 bulan lalu

Maksim P. · Diulas 10 bulan lalu

Merci beacoup

Kamurasi J. · Diulas 10 bulan lalu

faidhol a. · Diulas 10 bulan lalu

Naura J. · Diulas 10 bulan lalu

Anubhav M. · Diulas 10 bulan lalu

Jordan B. · Diulas 10 bulan lalu

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. · Diulas 10 bulan lalu

Sheng Han L. · Diulas 10 bulan lalu

imron r. · Diulas 10 bulan lalu

Godwin A. · Diulas 10 bulan lalu

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