关于“Distributed Training with Keras”的评价
8281 条评价
VU T. · 已于 about 2 years前审核
Himal D. · 已于 about 2 years前审核
David T. · 已于 about 2 years前审核
Leticia G. · 已于 about 2 years前审核
Leticia G. · 已于 about 2 years前审核
Sándor Tamás K. · 已于 about 2 years前审核
Srihari S. · 已于 about 2 years前审核
Darshan P. · 已于 about 2 years前审核
Sneha J. · 已于 about 2 years前审核
Hadrián P. · 已于 about 2 years前审核
Crystal E. · 已于 about 2 years前审核
Kriti V. · 已于 about 2 years前审核
Ruben R. · 已于 about 2 years前审核
Several of the steps (such as saving in "tf" format) had not been shown before and were ambiguous, so I had to look several times at the solution. The output is cluttered with "Cleanup called...". It was nice to see that the distributed and undistributed versions of model.evaluate() give the same result. It would be even nicer to compare the speed of distributed vs. undistributed model.fit() when adding some GPU.
Matthias G. · 已于 about 2 years前审核
Francisco V. · 已于 about 2 years前审核
Needed to interrupt, will retake later.
Matthias G. · 已于 about 2 years前审核
雄介 藤. · 已于 about 2 years前审核
Jo S. · 已于 about 2 years前审核
Kisora T. · 已于 about 2 years前审核
I had to fix errors in the given code to run this lab. Specifically, the "scale" function. Further, why is this lab using 2 spaces instead of 4 spaces (the full tab) when indenting python code?
Cory J. · 已于 about 2 years前审核
Wen K. · 已于 about 2 years前审核
Auriane M. · 已于 about 2 years前审核
FEDERICO F. · 已于 about 2 years前审核
Vladyslav G. · 已于 about 2 years前审核
Carlos S. · 已于 about 2 years前审核
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