Signed-off-by: Thiago Crepaldi <thiagofc@microsoft.com>
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Thiago Crepaldi 2019-02-28 04:38:53 +00:00
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@ -242,7 +242,7 @@ CPU inference performance improvements using MKL
New loss function: hierarchical softmax
* Thanks @yaochengji for the contribution!
Distributed Training with Mulitple Learners
Distributed Training with Multiple Learners
* Trainer now accepts multiple parameter learners for distributed training. With this change, different parameters of a network can be learned by different learners in a single training session. This also facilitates distributed training for GANs. For more information, please refer to the [Basic_GAN_Distributed.py](/Examples/Image/GAN/Basic_GAN_Distributed.py) and the [cntk.learners.distributed_multi_learner_test.py](/bindings/python/cntk/learners/tests/distributed_multi_learner_test.py)
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