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

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  • 原文链接:https://www.oschina.net/news/97918/tensorflow-1-9-0-released

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