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Add release notes for Intel MKL integration.

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A. Unique TensorFlower 2017-01-07 09:19:27 -08:00 committed by TensorFlower Gardener
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@ -39,6 +39,15 @@
be replaced by calling `embedding_lookup` or `layers.dense` as pre- or post-
processing of the rnn. For RNN decoding, this functionality has been replaced
with an alternative API in `tf.contrib.seq2seq`.
* Intel MKL Integration (https://software.intel.com/en-us/articles/tensorflow-optimizations-on-modern-intel-architecture). Intel developed a number of
optimized deep learning primitives: In addition to matrix multiplication and
convolution, these building blocks include:
Direct batched convolution
Pooling: maximum, minimum, average
Normalization: LRN, batch normalization
Activation: rectified linear unit (ReLU)
Data manipulation: multi-dimensional transposition (conversion), split,
concat, sum and scale.
## Bug Fixes and Other Changes
* In python, `Operation.get_attr` on type attributes returns the Python DType