TensorFlow v1.0.0 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

• 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修復

• 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.

下載

• Source code (zip)
• Source code (tar.gz)

本站原創，轉載時保留以下信息：
本文轉自：深度開源（open-open.com）
原文地址：http://www.baiduhome.net/news/view/3ccbc3bf