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# Release 1.3.0
+See also [TensorBoard 0.1.4](https://github.com/tensorflow/tensorboard/releases/tag/0.1.4) release notes.
+
## Major Features and Improvements
* Added canned estimators to Tensorflow library. List of added estimators:
* `DNNClassifier`
@@ -8,7 +10,7 @@
* `LinearRegressor`
* `DNNLinearCombinedClassifier`
* `DNNLinearCombinedRegressor`.
-* All our prebuilt binaries have been built with cuDNN 6.
+* All our prebuilt binaries have been built with cuDNN 6. We anticipate releasing TensorFlow 1.4 with cuDNN 7.
* `import tensorflow` now goes much faster.
* Adds a file cache to the GCS filesystem with configurable max staleness for file contents. This permits caching of file contents across close/open boundaries.
* Added an axis parameter to `tf.gather`.
@@ -44,6 +46,9 @@
* Adds time series models to contrib. See contrib/timeseries/README.md for details.
* Adds FULLY_CONNECTED Op to tensorflow/contrib/lite/schema.fbs
+## Known Issues
+* Tensorflow_gpu compilation fails with Bazel 0.5.3.
+
## Bug Fixes and Other Changes
* Fixes `strides` and `begin` dtype mismatch when slicing using int64 Tensor index in python.
* Improved convolution padding documentation.