机器学习库 TensorFlow 1.9.0 发布，常规更新版本

机器学习库 TensorFlow 1.9.0 已发布，该版本没有重大更新，只是一个常规更新版本。

主要功能和改进

• Updated docs for tf.keras: New Keras-based get started and programmers guide page.
• Update tf.keras to the Keras 2.1.6 API.
• Added tf.keras.layers.CuDNNGRU and tf.keras.layers.CuDNNLSTM layers. Try it.
• Adding support of core feature columns and losses to gradient boosted trees estimators.
• The python interface for the TFLite Optimizing Converter has been expanded, and the command line interface (AKA: toco, tflite_convert) is once again included in the standard pip installation.
• Improved data-loading and text processing with:
• tf.decode_compressed
• tf.string_strip
• tf.strings.regex_full_match
• Added experimental support for new pre-made Estimators:
• tf.contrib.estimator.BaselineEstimator
• tf.contrib.estimator.RNNClassifier
• tf.contrib.estimator.RNNEstimator
• The distributions.Bijector API supports broadcasting for Bijectors with new API changes.

可以看到，主要是升级和改进了一些 API，以及改进了文档。

破坏性变更

• If you're opening empty variable scopes; replace variable_scope('', ...) by variable_scope(tf.get_variable_scope(), ...).
• Headers used for building custom ops have been moved from site-packages/external into site-packages/tensorflow/include/external.

详情请查看 https://github.com/tensorflow/tensorflow/releases/tag/v1.9.0