Distributed Training with Keras Reviews

NACER E. · Reviewed almost 2 years ago

GIRISH KUMAR S. · Reviewed almost 2 years ago

Ahmad A. · Reviewed almost 2 years ago

Harsha V. · Reviewed almost 2 years ago

Dmytro K. · Reviewed almost 2 years ago

Sebastián A. · Reviewed almost 2 years ago

Leticia G. · Reviewed almost 2 years ago

Leticia G. · Reviewed almost 2 years ago

Scot J. · Reviewed almost 2 years ago

Solomon B. · Reviewed almost 2 years ago

James Z. · Reviewed almost 2 years ago

VU T. · Reviewed almost 2 years ago

Himal D. · Reviewed almost 2 years ago

David T. · Reviewed almost 2 years ago

Leticia G. · Reviewed almost 2 years ago

Leticia G. · Reviewed almost 2 years ago

Sándor Tamás K. · Reviewed almost 2 years ago

Srihari S. · Reviewed almost 2 years ago

Darshan P. · Reviewed almost 2 years ago

Sneha J. · Reviewed almost 2 years ago

Hadrián P. · Reviewed almost 2 years ago

Crystal E. · Reviewed almost 2 years ago

Kriti V. · Reviewed almost 2 years ago

Ruben R. · Reviewed almost 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 almost 2 years ago