Privacidade diferencial em machine learning com a TensorFlow Privacy avaliações

25232 avaliações

Jake H. · Revisado há 8 days

us zones are not working jupiter lab is not opening

Sahithi G. · Revisado há 8 days

Ayush V. · Revisado há 8 days

Ushadevi Y. · Revisado há 9 days

Good

Ankur Jain9 .. · Revisado há 9 days

Sujal M. · Revisado há 9 days

Sanika B. · Revisado há 9 days

Karan T. · Revisado há 9 days

Jhon Fernando M. · Revisado há 9 days

이삭 조. · Revisado há 9 days

HaoNT1 N. · Revisado há 9 days

i couldn't get it to run anything. tons of dependency issues and the privacy kernal installing where ever the hell it want. this lab is no where near push and play. it needs lots of troubleshooting.

Jean M. · Revisado há 9 days

Heechang H. · Revisado há 9 days

Jimmy G. · Revisado há 9 days

Poco bien

Dua Z. · Revisado há 9 days

밤 이. · Revisado há 9 days

상태체크 안됨

Heechang H. · Revisado há 9 days

Onkar K. · Revisado há 9 days

Nikita K. · Revisado há 9 days

Saurav G. · Revisado há 9 days

The lab environment experienced several library dependency conflicts and encountered issues locating the installation path for the TensorFlow kernel. Despite successfully completing the tasks, the system fails to flag the lab as 'complete' regardless of multiple attempts. Could you please manually mark this as completed in the system? Kind regards and thank you in advance. Output: DP-SGD performed over 60000 examples with 32 examples per iteration, noise multiplier 0.5 for 1 epochs without microbatching, and no bound on number of examples per user. This privacy guarantee protects the release of all model checkpoints in addition to the final model. Example-level DP with add-or-remove-one adjacency at delta = 1e-05 computed with RDP accounting: Epsilon with each example occurring once per epoch: 10.726 Epsilon assuming Poisson sampling (*): 3.800 No user-level privacy guarantee is possible without a bound on the number of examples per user. (*) Poisson sampling is not usually done in training pipelines, but assuming that the data was randomly shuffled, it is believed the actual epsilon should be closer to this value than the conservative assumption of an arbitrary data order..

Enrique Á. · Revisado há 9 days

Heeralal Kumar S. · Revisado há 9 days

OM M. · Revisado há 10 days

Satyam V. · Revisado há 10 days

the lab is unable to monitor the progress. I'm not able to move forward

shlok p. · Revisado há 10 days

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