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Commits on May 1, 2018

• Merge pull request tensorflow#4140 from asimshankar/r1.8.0-fix

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• [samples/core/get_starter/eager]: Update with API simplifications in 1.8

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Commits on Apr 11, 2018

• Merge pull request tensorflow#3944 from MarkDaoust/r1.8.0

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Commits on Apr 10, 2018

• Update eager.ipynb

  MarkDaoust

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• Delete equivalence between step and learning rate; the two are different concepts.

  

  akshayka

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  MarkDaoust

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• Touch-ups to eager's getting started guide:

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Commits on Apr 3, 2018

• Removing research models.

  annarev

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• Merge pull request tensorflow#3846 from pkulzc/master

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• Sync to latest.

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• Fix the testing script exit code for python test. (tensorflow#3858)

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• Merge pull request tensorflow#3828 from lukemetz/master

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• Merge pull request tensorflow#3712 from rzumer/fix-compression

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• Merge remote-tracking branch 'upstream/master'

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• First commit of learning_unsupervised_learning

  

  Luke Metz

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• Allow users passing master argument to avoid instantiating a TPUClusterResolver (tensorflow#3845)

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• Update MobilenetV2 SSDLite release note.

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  pkulzc

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• Add ssd mobilenet v2 to model zoo.

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• Release notes for Mobilenet V2 + SSDLite.

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• Add ronnyvotel@ to maintainers list.

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• Minor fixes to third party code.

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• Mscoco download script minor fix.

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• Identity context manager to help setting up conditional with statements.

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• Add object detection gwsq to gwsq config.

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• Add support to single channel images in visualization tool.

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• Utility to write config files to disk.

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• Updating model to infer when labels are padded, rather than relying solely on the mode. This is necessary for evaluating on train data.

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• Use keyword arguments in model builder for ssd feature extractor. This was incorreclty setting reuse argument.

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• Internal code review config change.

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• Removing flag defaults for train steps and eval steps. If not provided, will revert to the values specified in the config.

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• Add PNASNet-based Faster R-CNN object detection.

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• Provide option to perform in-place batch norm updates for ssd feature extractors.

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• Use mobilenet_v1_arg_scope to pass the weight_decay and batch norm params.

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• Add warning if shuffle=false but num_readers > 1. The latter would cause the input data stream to still be shuffled.

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• Improved shape inference for reshape

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• Write groundtruth weights from input pipeline into model.

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