TensorFlow v1.0.0-alpha 發布,一個表達機器學習算法的接口
TensorFlow 是一個表達機器學習算法的接口,并且是執行算法的實現框架。使用 TensorFlow 表示的計算可以在眾多異構的系統上方便地移植,從移動設別如手機或者平板電腦到成千的GPU計算集群上都可以執行。該系統靈活,可以被用來表示很多的算法包括,深度神經網絡的訓練和推斷算法,也已經被用作科研和應用機器學習系統在若干的計算機科學領域或者其他領域中,例如語言識別、計算機視覺、機器人、信息檢索、自然語言理解、地理信息抽取和計算藥物發現。
更新日志
- 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. - Remove old tf summary ops, like
tf.scalar_summary
andtf.histogram_summary
. Usetf.summary.scalar
andtf.summary.histogram
instead. make_template()
takes an optionalcustom_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: 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
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