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Update changelog
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@ -11,14 +11,19 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.
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- Faster training (20-30%) by optimizing gradient popagation of biases
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- Faster training (20-30%) by optimizing gradient popagation of biases
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- Returning hard alignments during decoding
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- Returning hard alignments during decoding
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- Refactored sync sgd for easier communication and integration with NCCL
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- Smaller memory-overhead for sync-sgd
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- NCCL integration (version 2.2.13)
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### Fixed
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### Fixed
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- A couple of bugs in "selection" (transpose, shift, cols, rows) operators during
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- A couple of bugs in "selection" (transpose, shift, cols, rows) operators during
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back-prob for a very specific case: one of the operators is the first operator after
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back-prob for a very specific case: one of the operators is the first operator after
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a branch, in that case gradient propgation might be interrupted. This did not affect
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a branch, in that case gradient propgation might be interrupted. This did not affect
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any of the existing models as such a case was not present, but might have caused
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any of the existing models as such a case was not present, but might have caused
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future models to not train properly.
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future models to not train properly.
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- Bug in mini-batch-fit, tied embeddings would result in identical embeddings in fake
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source and target batch. Caused under-estimation of memory usage and re-allocation.
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## [1.5.0] - 2018-06-17
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## [1.5.0] - 2018-06-17
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