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Update mobilenet_v1.md

The final BN and ReLU layer is only need for v2 model since it was
doing preactivation in each block.

Addressing reviewers' comments. Added correct handling of order=np.inf.

* Add benchmark logging for wide_deep.

* Fix lint error.

Update mnist_eager.py to use GPU if available and not specified otherwise. At the moment it uses the CPU even if a GPU is available, since "if flags_obj.no_gpu or tf.test.is_gpu_available():" in "def run_mnist_eager(flags_obj):" evaluates to True if a GPU is available.

* forbid resnet v1 fp16

* address PR comments

Updates to differential_privacy/pate following the Banff workshop.

Collapse license cell

Fix typo in iris_data.py

* Add run individual step only option

* Fix comments and update readme

* Add valiation argument

* Address comments

* Make code shorter

* Fix more lints

* rename --version flag and fix tests to correctly specify version rather than verbosity

* rename version to resnet_version throughout

* fix bugs

* delint

* missed layer_test

* fix indent

* Add dataset info and hyper parameter logging for benchmark.

* Address review comments.

* Address the view comment for data schema name.

* Fix test cases.

* Lint fix.

Internal changes to object detection

195269567  by Zhichao Lu:

    Removing image summaries during train mode.

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195147413  by Zhichao Lu:

    SSDLite config for mobilenet v2.

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194883585  by Zhichao Lu:

    Simplify TPU compatible nearest neighbor upsampling using reshape and broadcasting.

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194851009  by Zhichao Lu:

    Include ava v2.1 detection models in model zoo.

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194292198  by Zhichao Lu:

    Add option to evaluate any checkpoint (without requiring write access to that directory and overwriting any existing logs there).

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194122420  by Zhichao Lu:

    num_gt_boxes_per_image and num_det_boxes_per_image value incorrect.
    Should be not the expand dim.

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193974479  by Zhichao Lu:

    Fixing a bug in the coco evaluator.

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193959861  by Zhichao Lu:

    Read the default batch size from config file.

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193737238  by Zhichao Lu:

    Fix data augmentation functions.

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193576336  by Zhichao Lu:

    Add support for training keypoints.

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193409179  by Zhichao Lu:

    Up...

* Revert 823da318. This restores distribution strategies for resnet.

This commit is not a direct revert due to significant merge conflict
resolution.

* fix flags test

* npc is no longer used in resnet

* fix treatment of main() and absl flags

* add mnist_eager, and delint

* add mnist_eager docstring

* squash of modular absl usage commits

* delint

* address PR comments

* change hooks to comma separated list, as absl behavior for space separated lists is not as expected

Add buttons and enable TOC

official/mnist: Updates with the release of TensorFlow 1.8.

* Adding option for one_box_for_all_classes to the box_predictor

PiperOrigin-RevId: 192813444

* Extend to accept different ratios of conv channels.

PiperOrigin-RevId: 192837477

* Remove inaccurate caveat from proto file.

PiperOrigin-RevId: 192850747

* Add option to set dropout for classification net in weight shared box predictor.

PiperOrigin-RevId: 192922089

* fix flakiness in testSSDRandomCropWithMultiClassScores due to randomness.

PiperOrigin-RevId: 193067658

* Post-process now works again in train mode.

PiperOrigin-RevId: 193087707

* Adding support for reading in logits as groundtruth labels and applying an optional temperature (scaling) before softmax in support of distillation.

PiperOrigin-RevId: 193119411

* Add a util function to visualize value histogram as a tf.summary.image.

PiperOrigin-RevId: 193137342

* Do not add batch norm parameters to final conv2d ops that predict boxes encodings and class...

* catch cpuinfo ImportError

* add psutil import catch

* fix typo

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