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  1. Enable accuracy reporting during training.
  2. Simplify compute_accuracy()

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@fchollet fchollet left a comment

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LGTM, thanks! Sorry for the delay in reviewing.

@fchollet fchollet merged commit 4a9f551 into keras-team:master Oct 2, 2017
ozabluda added a commit to ozabluda/keras that referenced this pull request Oct 2, 2017
…raph.py (keras-team#7997)

* 1. Enable accuracy reporting during training.
2. Simplify compute_accuracy()

* Fix PEP8 errors
@ozabluda ozabluda deleted the patch-3 branch October 3, 2017 00:40
dschwertfeger added a commit to dschwertfeger/keras that referenced this pull request 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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2 participants