TensorFlow.js 0.11.1 发布,在浏览器中训练 ML 模型

TensorFlow.js 是一个开源硬件加速 JavaScript 库,用于训练和部署机器学习模型。

TensorFlow.js 0.11.1 已发布,包含大量更新:

  • Add capability to save and load tf.Models using the following mediums:
    • browser Local Storage
    • browser IndexedDB
    • browser file downloads and uploads
    • HTTP requests See Tutorial Page for more details. (#181).

Core (0.8.3 ==> 0.11.0)

Features

  • Add tf.unstack (#1018). 
  • Add tf.losses.logLoss (#1021). 
  • Add tf.losses.hingeLoss (#1008). 
  • Gradient for tf.gather (#981). 
  • Add resizeBilinear gradient implementation. (#996).
  • Add tf.losses.cosineDistance (#1005).
  • Add tf.losses.meanSquaredError (#991). 
  • Add tf.disposeVariables which disposes all registered variables. (#988). 
  • Add tensor.round() (chaining was missing for round) (#994).
  • Add support for loading quantized weights (#965).
  • Add tf.linalg.gramSchmidt and tf.eye (#1024).
  • Add tf.io.browserHTTPRequest (#1030).
  • Add tf.io.browserDownloads() and tf.io.browserFiles() (#1012).
  • Add IOHandler subtype BrowserLocalStorage. (#1003).
  • Add tf.cumsum (#1032).
  • Add tf.io.browserIndexedDB (#1017).
  • Add support for StridedSlice (#1026).
  • Add model store managers (#1038).

Breaking changes

  • The symbol "tfc" becomes "tf" for ES5 tf-core.js bundle users. [Convert core to use rollup for bundling.] (#1037).
  • Export GPGPUContext and add getCanvas() to the WebGLBackend. (#982).

Bug fixes

  • Fix bug: transpose(scalar|1d) should return a clone. (#1033).
  • Remove explicit dispose in tf.grad to fix second-order gradient (#1013). 
  • Clean up tensor leak in tf.toPixels() (#1031).
  • Fix the import/export of gpgpu_util. (#1009). 
  • Fix a bug with backendCPU.conv2dDerInput (#1014).
  • Fix tensor2d/3d/4d to require shape to have the correct length (#1004).
  • Checks if window location is not undefined (#1002).
  • Default behavior changed with newest NVidia Drivers in Mac OS >=10.13.4 so we have to check for NaN explicitly. [Fix nan propagation in tf.relu] ([#1001]
  • Improve the WebGL random number generator (#993).
  • Fix build issue where module-import code gets dropped from the bundle (#987). (tensorflow/tfjs-core#1001)).
  • Align tf.resizeNearestNeighbor with TF. (#1000). 
  • Return 0 for tf.sign(NaN) to align with TF (#998).

Performance

  • Optimize CPU conv2dDerInput on CPU to be 100x faster (#995). 
  • Quantizing weights reduces model size and improves model download time [Add support for loading quantized weights] (#965).

Development

  • adds template to pull request message [adds pull request template] (#1036).
  • Travis: run tests on Node.js 10 as well (#1039). 
  • Travis: use yarn cache (#1040). 
  • Travis: clone only last 5 commits (#1041). 

Documentation

  • Fix typo in tf.tile documentation. (#1043).
  • Remove erroneous endpoint parameter from linspace JSDoc (#1020).
  • Removed duplicate typo in tf.buffer docs (#1023). 
  • Fixe bug in oneHot doc example (#1015). 
  • Fix code snippet in docs where indices should be int32 (#989). 
  • Fix typo in comments of io module. (#1006). 
  • Update a comment in environment.ts reference deeplearn.js. (#1007). 
  • Add logic operation code snippets in jsdocs (#900). 
  • Update docstring for tf.setBackend() re disposing the old backend. (#1029).

Misc

  • Export GPGPUContext and add getCanvas() to the WebGLBackend. (#982).
  • Add IS_BROWSER to ENV; add scheme-based URL router to tf.io.* modules (#1034).
  • Add tf.pad test for 4d tensor and test memory (#1025).
  • Exports operation decorator for use in tfjs-layers (#1027).
  • Add serialization infrastructure to core (#997).
  • Add tests for tf.conv1d gradients (#992). 
  • Add basic types and helper methods for model exporting (#990).

Layers (0.5.2 ==> 0.6.1)

Features

  • Add version string (e.g., 'tfjs-layers 0.10.3') to the keras_version field of JSONs from model serialization.(#157).
  • added tf.layers.cropping2D (#155). 

Breaking changes

  • "tfl" => "tf" for es5 bundle users. (#191).
  • Remove the exporting of the backend symbols (#193).
  • Model.fit(): Change default epochs to 1 (#156).

Bug fixes

  • Fix axis in Softmax activation layer (#177). 
  • Fix slowness in Orthgonal initializer for some RNN layers. (#172).
  • The padding mode is called 'causal' not 'casual' (#152). 

Development

  • chore: use yarn cache (#187). 
  • chore: add Node.js 10 (#189).
  • adds default pull request template to help remind contributors to use PR commit message tags. (#180).
  • Add integration_test/tfjs2keras. (#173).

Documentation

  • Add code snippet for tf.layers.reshape. (#198).
  • Clarify that the default value of useBias is true for (#162).
  • Clarify that filters is a required field for non-depthwise (#162).
  • Fixes #165: Document model.fit callbacks (#149). 

Misc

  • Update topology.ts (#159).

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  • 原文链接https://www.oschina.net/news/96240/tensorflowjs-0-11-1-released

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