- Add capability to save and load
tf.Model
s 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). Thanks, @Lewuathe.
- Add tf.losses.logLoss (#1021). Thanks, @manrajgrover.
- Add tf.losses.hingeLoss (#1008). Thanks, @manrajgrover.
- Gradient for tf.gather (#981). Thanks, @jgartman.
- Add resizeBilinear gradient implementation. (#996).
- Add tf.losses.cosineDistance (#1005). Thanks, @manrajgrover.
- Add tf.losses.meanSquaredError (#991). Thanks, @manrajgrover.
- Add tf.disposeVariables which disposes all registered variables. (#988). Thanks, @Lewuathe.
- Add tensor.round() (chaining was missing for round) (#994). Thanks, @manrajgrover.
- 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). Thanks, @Lewuathe.
- Clean up tensor leak in tf.toPixels() (#1031).
- Fix the import/export of gpgpu_util. (#1009). Thanks, @Nicola17.
- 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). Thanks, @manrajgrover.
- 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). Thanks, @Nicola17.
- Fix build issue where module-import code gets dropped from the bundle (#987).
(tensorflow/tfjs-core#1001)). - Align tf.resizeNearestNeighbor with TF. (#1000). Thanks, @Lewuathe.
- Return 0 for tf.sign(NaN) to align with TF (#998).
Performance
- Optimize CPU conv2dDerInput on CPU to be 100x faster (#995). Thanks, @piscisaureus.
- 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). Thanks, @DanielRuf.
- Travis: use yarn cache (#1040). Thanks, @DanielRuf.
- Travis: clone only last 5 commits (#1041). Thanks, @DanielRuf.
Documentation
- Fix typo in tf.tile documentation. (#1043). Thanks, @sorig.
- Remove erroneous endpoint parameter from linspace JSDoc (#1020). Thanks, @Lewuathe.
- Removed duplicate typo in tf.buffer docs (#1023). Thanks, @HarshaLaxman.
- Fixe bug in oneHot doc example (#1015). Thanks, @manrajgrover.
- Fix code snippet in docs where indices should be int32 (#989). Thanks, @nbardy.
- Fix typo in comments of io module. (#1006). Thanks, @Lewuathe.
- Update a comment in environment.ts reference deeplearn.js. (#1007). Thanks, @jgartman.
- Add logic operation code snippets in jsdocs (#900). Thanks, @nbardy.
- 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). Thanks, @easadler.
- 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). Thanks, @zaidalyafeai.
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). Thanks, @janhuenermann.
- Fix slowness in
Orthgonal
initializer for some RNN layers. (#172). - The padding mode is called 'causal' not 'casual' (#152). Thanks, @piscisaureus.
Development
- chore: use yarn cache (#187). Thanks, @DanielRuf.
- chore: add Node.js 10 (#189). Thanks, @DanielRuf.
- 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
istrue
for (#162). - Clarify that
filters
is a required field for non-depthwise (#162). - Fixes #165: Document model.fit callbacks (#149). Thanks, @manrajgrover.
Misc
- Update topology.ts (#159). Thanks, @xHeliotrope.