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tensorflow
Library for training machine learning models with privacy for training data
Unittests show that the high level BoltOnModel has issues on some fit tests for beta1. alpha0 and beta0 should be stable for the new PR.
Hi, The Keras tutorial (with the MNIST dataset) looks not compatible with the "callbacks" features. I added the 'callbacks=[lr_schedule]' as an argument of the 'model.fit' function, and it shows the...
For a non-sequential model if number of examples is not a multiple of number of `microbatches` (see the data file below) the training with `DPAdamOptimizer` fails. `Numpy 1.14.4` `Tensorflow 1.13.1`...
Efficient DP optimizers for sparse models.
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Library for training machine learning models with privacy for training data