TensorFlow.js 0.11.1 发布，在浏览器中训练 ML 模型

栏目: 软件资讯 · 发布时间: 6年前

内容简介：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: brow...

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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