TensorFlow Privacy ile makine öğreniminde diferansiyel gizlilik Reviews

Eduardo M. · Reviewed 8 ay ago

easy

Antonio S. · Reviewed 8 ay ago

Bruna A. · Reviewed 8 ay ago

DJ N. · Reviewed 8 ay ago

Nicholas W. · Reviewed 8 ay ago

Ronaldo M. · Reviewed 8 ay ago

Leung S. · Reviewed 8 ay ago

Fernando M. · Reviewed 8 ay ago

Daniel Sidnei M. · Reviewed 8 ay ago

Piotr B. · Reviewed 8 ay ago

Samruddhi K. · Reviewed 8 ay ago

Sneha M. · Reviewed 8 ay ago

Poojitha Reddy S. · Reviewed 8 ay ago

N Harsha Vardhan R. · Reviewed 8 ay ago

Tarun K. · Reviewed 8 ay ago

Regina B. · Reviewed 8 ay ago

mauro p. · Reviewed 8 ay ago

I don't feel the lab demonstrated the concept of Differential Privacy well enough. Specifically, it seems that the core of the lab is the function "compute_dp_sgd_privacy.compute_dp_sgd_privacy_statement", in that case the lab should have focused on it and on different reports it provides. Trianing the model wasn't really necessary at all in order to call that function.

Yuval W. · Reviewed 8 ay ago

Janani D. · Reviewed 8 ay ago

Joanna S. · Reviewed 8 ay ago

AMIT G. · Reviewed 8 ay ago

Abhishek Kothekar 2. · Reviewed 8 ay ago

Gleison M. · Reviewed 8 ay ago

Riyaz A. · Reviewed 8 ay ago

Hojung J. · Reviewed 8 ay ago