Treinamento distribuído com o Keras avaliações

Leticia G. · Revisado há about 2 years

Scot J. · Revisado há about 2 years

Solomon B. · Revisado há about 2 years

James Z. · Revisado há about 2 years

VU T. · Revisado há about 2 years

Himal D. · Revisado há about 2 years

David T. · Revisado há about 2 years

Leticia G. · Revisado há about 2 years

Leticia G. · Revisado há about 2 years

Sándor Tamás K. · Revisado há about 2 years

Srihari S. · Revisado há about 2 years

Darshan P. · Revisado há about 2 years

Sneha J. · Revisado há about 2 years

Hadrián P. · Revisado há about 2 years

Crystal E. · Revisado há about 2 years

Kriti V. · Revisado há about 2 years

Ruben R. · Revisado há about 2 years

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. · Revisado há about 2 years

Francisco V. · Revisado há about 2 years

Needed to interrupt, will retake later.

Matthias G. · Revisado há about 2 years

雄介 藤. · Revisado há about 2 years

Jo S. · Revisado há about 2 years

Kisora T. · Revisado há about 2 years

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. · Revisado há about 2 years

Wen K. · Revisado há about 2 years