关于“透過 TensorFlow 和 Vertex AI 識別馬匹或人類”的评价

Ricky W. · 评论over 1 year之前

Khok X. · 评论over 1 year之前

Jia Ying C. · 评论over 1 year之前

Xiao L. · 评论over 1 year之前

Azrul H. · 评论over 1 year之前

Esther C. · 评论over 1 year之前

Jirapat I. · 评论over 1 year之前

Kien Wah L. · 评论over 1 year之前

After installing all the required libraries as instructed in the lab, I tried running the following code: python Copy code import os if not os.getenv("IS_TESTING"): # Automatically restart kernel after installs import IPython app = IPython.Application.instance() app.kernel.do_shutdown(True) I got a popup window with this message: "cloudskill: Kernel Restarting. The kernel for training-data-analyst/self-paced-labs/learning-tensorflow/convolutions-with-complex-images/CLS_Vertex_AI_CNN_horse_or_human.ipynb appears to have died. It will restart automatically." I waited and waited for the kernel to restart successfully. Instead, each time I ran the previous code, I got the same message saying the kernel died and it will restart automatically. I couldn't move forward, assuming that every cell I run would give me the same error. This lab cost me 15 credits and more than three hours trying to finish it. This false, misleading message was incredibly frustrating. When I asked for chat support, the representative just told me to keep running the code, dismissing my concerns. I should have gotten a confirmation that the kernel restarted successfully, not that the kernel died and it "WILL RESTART AUTOMATICALLY!" This experience was extremely disappointing and unproductive.

Suha J. · 评论over 1 year之前

Phongcheat P. · 评论over 1 year之前

hazwan z. · 评论over 1 year之前

Shweta n. · 评论over 1 year之前

LIM W. · 评论over 1 year之前

Ooi R. · 评论over 1 year之前

Phakon R. · 评论over 1 year之前

Pavit S. · 评论over 1 year之前

Wei Loon T. · 评论over 1 year之前

Daophahut M. · 评论over 1 year之前

Jessadakorn V. · 评论over 1 year之前

great

Jimmy L. · 评论over 1 year之前

Eakkaphob B. · 评论over 1 year之前

Jaruphat J. · 评论over 1 year之前

Teng J. · 评论over 1 year之前

Pratch S. · 评论over 1 year之前

Ponlawat R. · 评论over 1 year之前