关于“TensorFlow Dataset API”的评价

Tadashi A. · 评论over 1 year之前

David J. · 评论over 1 year之前

David J. · 评论over 1 year之前

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Alhelí G. · 评论over 1 year之前

Oscar E. · 评论over 1 year之前

Albert R. · 评论over 1 year之前

The lab doesn't work with the below error: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-11-15 20:06:05.123160: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/lib/x86_64-linux-gnu/:/opt/conda/lib 2024-11-15 20:06:05.123299: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/lib/x86_64-linux-gnu/:/opt/conda/lib 2024-11-15 20:06:05.123312: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.

Marcos P. · 评论over 1 year之前

RONALD R. · 评论over 1 year之前

Jay17 G. · 评论over 1 year之前

Jay17 G. · 评论over 1 year之前

Hsueh-Lun, A. · 评论over 1 year之前

Kevin O. · 评论over 1 year之前

Andres R. · 评论over 1 year之前

Kevin O. · 评论over 1 year之前

very nice lab. thanks

Anuj D. · 评论over 1 year之前

Fandio N. · 评论over 1 year之前

Ibrahim S. · 评论over 1 year之前

Alex M. · 评论over 1 year之前

Bijay S. · 评论over 1 year之前

Excellent lab. There's definitely a challenge in getting a person to understand something very specific. The person is never going to truly understand the same messsage that is sent out. However, in this case the difference was minimal. I wish I can do more labs like these. I feel that I learned a lot from doing this lab even though I had to peek at the solution. I used the recommended time to complete the lab and dedicated all of it to make my brain think because neurogensis takes time. I think I was able to activate the 'Long Term Potentiation' mechanism in my brain to make learning more effective with the pre-defined environment provided by Google. It's hard to get the right environment for learning and this lab helped in ways that would otherwise not be possible. Thanks Google. Best regards, Woong Choi

웅비 최. · 评论over 1 year之前