关于“Classifying Images of Clouds in the Cloud with AutoML Vision”的评价

Anderson M. · 评论over 3 years之前

Dipsikha T. · 评论over 3 years之前

Chandra K. · 评论over 3 years之前

Cristian C. · 评论over 3 years之前

Igor I. · 评论over 3 years之前

Harindha F. · 评论over 3 years之前

Joe W. · 评论over 3 years之前

Aashis K. · 评论over 3 years之前

great understandable presentation

chollangi c. · 评论over 3 years之前

Riccardo S. · 评论over 3 years之前

sangavi k. · 评论over 3 years之前

Yi L. · 评论over 3 years之前

Cheng L. · 评论over 3 years之前

Yogesh J. · 评论over 3 years之前

賢司 塩. · 评论over 3 years之前

Laxman K. · 评论over 3 years之前

Henry L. · 评论over 3 years之前

Tanay D. · 评论over 3 years之前

Pankaj K. · 评论over 3 years之前

Leo B. · 评论over 3 years之前

Aditi S. · 评论over 3 years之前

Rahul J. · 评论over 3 years之前

Definitely the worst lab so far. The instructions are out of date - e.g. CSV-based image import seems to require a header row, absent in the original data.csv; it succeeded only after I've added the labels; visiting web UI of GCS is confusing as it serves no purpose - CLI is used to copy all the files *and to list them*, so visit to UI is redundant and makes the student wonder if they've missed someting. I feel like I've learned nothing, it was just copying files from one bucket to another and clicking some buttons with default settings... Now for the constructive part: how about providing a pre-trained model to copy to student's account instead of telling them to "see the screenshots"? How about changing the dataset used for training (image sizes range from 50 KB to whopping 9 MB!) - if you're just showcasing the tool, maybe something smaller/simpler would suffice? I'm no expert in ML, but I suppose that teaching the model to recognize items on 64x64 px icons would be much faster. Or maybe provide 2 or 3 pre-trained models with different quality of input images to show the differences? Please review the lab and update the instructions, in its current form it's a waste of time and resources.

Andrzej G. · 评论over 3 years之前

Vinayak H. · 评论over 3 years之前

José T. · 评论over 3 years之前