TensorFlow v0.10.0 RC0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

主要功能和改進

• Added support for C++ shape inference
• Added graph-construction C API
• Major revision to the graph-construction C++ API
• Support makefile build for iOS
• Added Mac GPU support
• Full version of TF-Slim available as tf.contrib.slim
• Added k-Means clustering and WALS matrix factorization

重大Bug修復和其他更改

• Allow gradient computation for scalar values.
• Performance improvements for gRPC
• Improved support for fp16
• New high-level ops in tf.contrib.{layers,metrics}
• New features for TensorBoard, such as shape display, exponential smoothing
• Faster and more stable Google Cloud Storage (GCS) filesystem support
• Support for zlib compression and decompression for TFRecordReader and TFRecordWriter
• Support for reading (animated) GIFs
• Improved support for SparseTensor
• Added support for more probability distributions (Dirichlet, Beta, Bernoulli, etc.)
• Added Python interfaces to reset resource containers.
• Many bugfixes and performance improvements
• Many documentation fixes

下載

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