Introducing the Keras Sequential API on Vertex AI Platform Reviews
14711 reviews
lakshmi rohitha v. · Reviewed about 3 years ago
Abhishek S. · Reviewed about 3 years ago
Jeferson S. · Reviewed about 3 years ago
Robert M. · Reviewed about 3 years ago
Ana S. · Reviewed about 3 years ago
Aurélien L. · Reviewed about 3 years ago
Artur V. · Reviewed about 3 years ago
Abdul A. · Reviewed about 3 years ago
Vincenzo D. · Reviewed about 3 years ago
Jerzy B. · Reviewed about 3 years ago
Akash K. · Reviewed about 3 years ago
appreciate
Binh L. · Reviewed about 3 years ago
Upadhyay D. · Reviewed about 3 years ago
manuel o. · Reviewed about 3 years ago
Didn't work - model build errors re loading libcuda. Also expecting a lot (like creating a DNN from scratch) with no explanation in the material given.
Mandie Q. · Reviewed about 3 years ago
Daniel P. · Reviewed about 3 years ago
Alejandro A. · Reviewed about 3 years ago
Kullayappa P. · Reviewed about 3 years ago
Rishi Yash P. · Reviewed about 3 years ago
Alain C. · Reviewed about 3 years ago
Martin W. · Reviewed about 3 years ago
The lab wasn’t correctly put together and I couldn’t complete the project, even when using the solution guide. I think the wrong workspace was recommended because when I went to build my DNN this was the output error “ 2023-01-03 22:08:15.705448: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: 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 2023-01-03 22:08:15.705499: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303) 2023-01-03 22:08:15.705533: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (tensorflow-2-9-20230103-165527): /proc/driver/nvidia/version does not exist 2023-01-03 22:08:15.705902: 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.“
Nick F. · Reviewed about 3 years ago
Angel R. · Reviewed about 3 years ago
not enough time to read and understand all details
Paweł P. · Reviewed about 3 years ago
Andrew S. · Reviewed about 3 years ago
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