Distributed Training with Keras Reviews

Leticia G. · Reviewed about 2 years ago

Scot J. · Reviewed about 2 years ago

Solomon B. · Reviewed about 2 years ago

James Z. · Reviewed about 2 years ago

VU T. · Reviewed about 2 years ago

Himal D. · Reviewed about 2 years ago

David T. · Reviewed about 2 years ago

Leticia G. · Reviewed about 2 years ago

Leticia G. · Reviewed about 2 years ago

Sándor Tamás K. · Reviewed about 2 years ago

Srihari S. · Reviewed about 2 years ago

Darshan P. · Reviewed about 2 years ago

Sneha J. · Reviewed about 2 years ago

Hadrián P. · Reviewed about 2 years ago

Crystal E. · Reviewed about 2 years ago

Kriti V. · Reviewed about 2 years ago

Ruben R. · Reviewed about 2 years ago

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. · Reviewed about 2 years ago

Francisco V. · Reviewed about 2 years ago

Needed to interrupt, will retake later.

Matthias G. · Reviewed about 2 years ago

雄介 藤. · Reviewed about 2 years ago

Jo S. · Reviewed about 2 years ago

Kisora T. · Reviewed about 2 years ago

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. · Reviewed about 2 years ago

Wen K. · Reviewed about 2 years ago