关于“Distributed Training with Keras”的评价

Leticia G. · 已于 almost 2 years前审核

Sándor Tamás K. · 已于 almost 2 years前审核

Srihari S. · 已于 almost 2 years前审核

Darshan P. · 已于 almost 2 years前审核

Sneha J. · 已于 almost 2 years前审核

Hadrián P. · 已于 almost 2 years前审核

Crystal E. · 已于 almost 2 years前审核

Kriti V. · 已于 almost 2 years前审核

Ruben R. · 已于 almost 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 almost 2 years前审核

Francisco V. · 已于 almost 2 years前审核

Needed to interrupt, will retake later.

Matthias G. · 已于 almost 2 years前审核

雄介 藤. · 已于 almost 2 years前审核

Jo S. · 已于 almost 2 years前审核

Kisora T. · 已于 almost 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 almost 2 years前审核

Wen K. · 已于 almost 2 years前审核

Auriane M. · 已于 almost 2 years前审核

FEDERICO F. · 已于 almost 2 years前审核

Vladyslav G. · 已于 almost 2 years前审核

Carlos S. · 已于 almost 2 years前审核

Sik Yuen L. · 已于 almost 2 years前审核

Eduardo R. · 已于 almost 2 years前审核

Chithrup G. · 已于 almost 2 years前审核

Sitarama C. · 已于 almost 2 years前审核