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).

下载地址：

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