K-FAC: LM algorithm for adapting damping, Example to train MNIST autoencoder model...
authorA. Unique TensorFlower <gardener@tensorflow.org>
Wed, 21 Feb 2018 21:20:58 +0000 (13:20 -0800)
committerTensorFlower Gardener <gardener@tensorflow.org>
Wed, 21 Feb 2018 21:26:10 +0000 (13:26 -0800)
commit6419fd98883cd051213f0daeaea465728cf7a27c
tree4f499bc6eccb4f2b08ac1bf00487ce530de7239c
parentc8ccab3bda96bbda7adc281eaf095390806b06d7
K-FAC: LM algorithm for adapting damping, Example to train MNIST autoencoder model using variable size training data and update damping parameter, add KFACOptimizer.{update_damping}.

PiperOrigin-RevId: 186509305
tensorflow/contrib/kfac/python/kernel_tests/estimator_test.py
tensorflow/contrib/kfac/python/ops/BUILD
tensorflow/contrib/kfac/python/ops/estimator.py
tensorflow/contrib/kfac/python/ops/optimizer.py
tensorflow/contrib/kfac/python/ops/utils.py