Add shuffle to the Model API #8023
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ozabluda
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Oct 2, 2017
colllin
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Oct 5, 2017
| @@ -1037,6 +1037,7 @@ def fit_generator(self, generator, | |||
| max_queue_size=10, | |||
| workers=1, | |||
| use_multiprocessing=False, | |||
| shuffle=False, | |||
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FYI the default in the other fit_generator implementation is shuffle=True...
dschwertfeger
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Oct 8, 2017
…-outputs * master: (68 commits) Change default value of shuffle parameter of Sequential.fit_generator() from True to False. (keras-team#8075) Fix off-by-one bug in predict/evaluate progress bar (keras-team#8071) Revert "Faster sequence" (keras-team#8060) Support NCHW for conv2d. (keras-team#8021) Change compute_accuracy() argument order and names (keras-team#8049) Replace literal constant 10 with variable num_classes in example/ (keras-team#8041) Faster sequence (keras-team#8039) Improve RNN docs. Enable accuracy reporting during training in examples/mnist_siamese_graph.py (keras-team#7997) Bug fix: Models with shared layers shouldn't be considered Sequential like (keras-team#8025) Add 'subtract' merge layer documentation (keras-team#8038) Update inference in seq2seq script to be more efficient Remove lstm_benchmark from examples/README.md (keras-team#8024) Add shuffle to the Model API (keras-team#8023) Add seq2seq example script. fix travis failure (keras-team#8014) Improve TF backend's Switch function (keras-team#7958) Added support for dynamic noise_shape in Dropout (keras-team#7999) Make on_epoch_end optional (keras-team#8007) Incremental tests speed ups. ...
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fixes #8016
Just add
shuffleto the Model API