리뷰 Google Cloud에서 ML API용으로 데이터 준비하기: 챌린지 실습개

RIJAL M. · 4개월 전에 리뷰됨

Mallikarjun R. · 4개월 전에 리뷰됨

Dinesh V. · 4개월 전에 리뷰됨

Ashique A. · 4개월 전에 리뷰됨

Venkata Sai Karthik N. · 4개월 전에 리뷰됨

Venkata Sai Karthik N. · 4개월 전에 리뷰됨

Dilson B. · 4개월 전에 리뷰됨

PREETHI ROYAL A. · 4개월 전에 리뷰됨

Venkata Sai Karthik N. · 4개월 전에 리뷰됨

Venkata Sai Karthik N. · 4개월 전에 리뷰됨

Gissel Monserrath C. · 4개월 전에 리뷰됨

SIRAJ AHAMMAD C. · 4개월 전에 리뷰됨

Srinadh C. · 4개월 전에 리뷰됨

Ashley L. · 4개월 전에 리뷰됨

lina paola a. · 4개월 전에 리뷰됨

Ashley L. · 4개월 전에 리뷰됨

Ashley L. · 4개월 전에 리뷰됨

Ty S. · 4개월 전에 리뷰됨

A lot!

Rose C. · 4개월 전에 리뷰됨

Couldn't be less satisfied, I completed the two ending tasks, but the platform didn't recognize the completion and made a total wast of my time and credits, what makes me more angry is the fact that this challenge requires 5 credits, what is going to demand of me a substantial drain of credits that I would otherwise use in other labs, to to try this !@#$% lab again and try to guess what this !@#$% requires me to do. I followed all the instructions to the letter and yet...

Adriano C. · 4개월 전에 리뷰됨

Saving the initial result from the Google Cloud Speech-to-Text API and Cloud Natural Language API directly into the Cloud Shell file system saves it as type 'application/octet', I recall. For some reason, if you then directly upload this to the Cloud Storage bucket using `gcloud storage cp XXXX.result gs://BUCKET_NAME/XXXX.result`, the lab cannot seem to read the file and acknowledge the step completion. It might be good to have a warning that the output must first be output into a JSON file in the Cloud Shell filesystem, or that the desired result should be in the bucket as `application/json`.

Tuany V. · 4개월 전에 리뷰됨

Nestor Stiven P. · 4개월 전에 리뷰됨

Ashley L. · 4개월 전에 리뷰됨

Rodrigo A. · 4개월 전에 리뷰됨

For the STT and NLP API, if I upload file to GS as a different type it cannot get point. It should specify file type becomes application/json

Seongeun S. · 4개월 전에 리뷰됨