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TensorFlow v1.0.0 发布,一个表达机器学习算法的接口

TensorFlow 是一个表达机器学习算法的接口，并且是执行算法的实现框架。使用 TensorFlow 表示的计算可以在众多异构的系统上方便地移植，从移动设别如手机或者平板电脑到成千的GPU计算集群上都可以执行。该系统灵活，可以被用来表示很多的算法包括，深度神经网络的训练和推断算法，也已经被用作科研和应用机器学习系统在若干的计算机科学领域或者其他领域中，例如语言识别、计算机视觉、机器人、信息检索、自然语言理解、地理信息抽取和计算药物发现。

更新日志

XLA (experimental): initial release of XLA, a domain-specific compiler for TensorFlow graphs, that targets CPUs and GPUs.
TensorFlow Debugger (tfdbg): command-line interface and API.
New python 3 docker images added.
Made pip packages pypi compliant. TensorFlow can now be installed by pip install tensorflowcommand.
Several python API calls have been changed to resemble NumPy more closely.
New (experimental) Java API.
Android: new person detection + tracking demo implementing "Scalable Object Detection using Deep Neural Networks" (with additional YOLO object detector support)
Android: new camera-based image stylization demo based on "A Learned Representation For Artistic Style"

Bug修复

Numerous C++ API updates.
New op: parallel_stack.
Introducing common tf io compression options constants for RecordReader/RecordWriter.
Add sparse_column_with_vocabulary_file, to specify a feature column that transform string features to IDs, where the mapping is defined by a vocabulary file.
Added index_to_string_table which returns a lookup table that maps indices to strings.
Add string_to_index_table, which returns a lookup table that matches strings to indices.
Add a ParallelForWithWorkerId function.
Add string_to_index_table, which returns a lookup table that matches strings to indices.
Support restore session from checkpoint files in v2 in contrib/session_bundle.
Added a tf.contrib.image.rotate function for arbitrary angles.
Added tf.contrib.framework.filter_variables as a convenience function to filter lists of variables based on regular expressions.
make_template() takes an optional custom_getter_ param.
Added comment about how existing directories are handled by recursive_create_dir.
Added an op for QR factorizations.
Divides and mods in Python API now use flooring (Python) semantics.
Android: pre-built libs are now built nightly.
Android: cmake/gradle build for TensorFlow Inference library under contrib/android/cmake
Android: Much more robust Session initialization code.
Android: TF stats now exposed directly in demo and log when debug mode is active
Android: new/better README.md documentation
saved_model is available as tf.saved_model.
Empty op is now stateful.
Improve speed of scatter_update on the cpu for ASSIGN operations.
Change reduce_join to treat reduction_indices in the same way as other reduce_ ops.
Move TensorForestEstimator to contrib/tensor_forest.
Enable compiler optimizations by default and allow configuration in configure.
tf.divide now honors the name field.
Make metrics weight broadcasting more strict.
Add new queue-like StagingArea and new ops: stage and unstage.
Enable inplace update ops for strings on CPU. Speed up string concat.