关于“Using custom containers with AI Platform Training”的评价
评论
Jiin L. · 评论almost 4 years之前
That took so long!
Pierre-Yves D. · 评论almost 4 years之前
Christian U. · 评论almost 4 years之前
Lauri H. · 评论almost 4 years之前
Louis R. · 评论almost 4 years之前
Gerardo N. · 评论almost 4 years之前
Jeric Y. · 评论almost 4 years之前
Augusto G. · 评论almost 4 years之前
Time limit is too tight as this lab has relatively many coding tasks spanning across systems, and the long running time of training/tuning job (~10min) means that any coding error results in a need to rerun the job. This makes the margin of error pretty small (only chance for a few course correction before lab runs out of time). I optimized the setup/beginning portion of the lab by doing tasks in parallel, but even then it took me 1:30 (1 mistake: hypertune.Hypertune -> hypertune.HyperTune). This lab is execellent for making student experience how tedious it is to do AI end-to-end manually though. (which makes the need for good MLOps all the more convincing)
Tom L. · 评论almost 4 years之前
Ahmed M. · 评论almost 4 years之前
sai k. · 评论almost 4 years之前
Aleksandar P. · 评论almost 4 years之前
Instruction says use 80% data for training but the SQL only checked membership in 1,2,3,4 instead of 0,1,2,3,4,5,6,7? Also lacking explanation of what is --hptune and --nohptune. It's some magic variable not found in documentation
Pro M. · 评论almost 4 years之前
TYSON OMBOK P. · 评论almost 4 years之前
I was getting errors when running the pipeline such as file not found. I didn't know what to do in that situation. If support was available I would have been able to get more out of the Lab. Other than that it was well designed.
Yukta P. · 评论almost 4 years之前
FURIO L. · 评论almost 4 years之前
Satoshi S. · 评论almost 4 years之前
Tomas C. · 评论almost 4 years之前
Alexander K. · 评论almost 4 years之前
Helio P. · 评论almost 4 years之前
Victor J. · 评论almost 4 years之前
Belal N. · 评论almost 4 years之前
Ahmed N. · 评论almost 4 years之前
Engin K. · 评论almost 4 years之前
Too long...too much time to wait without nothing to do
nadia r. · 评论almost 4 years之前
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