keras 2.1.5

Keras 2.1.5

on Python PyPI

Areas of improvement

• Bug fixes.
• New APIs: sequence generation API TimeseriesGenerator, and new layer DepthwiseConv2D.
• Unit tests / CI improvements.
• Documentation improvements.

API changes

• Add new sequence generation API keras.preprocessing.sequence.TimeseriesGenerator.
• Add new convolutional layer keras.layers.DepthwiseConv2D.
• Allow weights from keras.layers.CuDNNLSTM to be loaded into a keras.layers.LSTM layer (e.g. for inference on CPU).
• Add brightness_range data augmentation argument in keras.preprocessing.image.ImageDataGenerator.
• Add validation_split API in keras.preprocessing.image.ImageDataGenerator. You can pass validation_split to the constructor (float), then select between training/validation subsets by passing the argument subset='validation' or subset='training' to methods flow and flow_from_directory.

Breaking changes

• As a side effect of a refactor of ConvLSTM2D to a modular implementation, recurrent dropout support in Theano has been dropped for this layer.

Credits

Thanks to our 28 contributors whose commits are featured in this release:

@DomHudson, @Dref360, @VitamintK, @abrad1212, @ahundt, @bojone, @brainnoise, @bzamecnik, @caisq, @cbensimon, @davinnovation, @farizrahman4u, @fchollet, @gabrieldemarmiesse, @khosravipasha, @ksindi, @lenjoy, @masstomato, @mewwts, @ozabluda, @paulpister, @sandpiturtle, @saralajew, @srjoglekar246, @stefangeneralao, @taehoonlee, @tiangolo, @treszkai