GitLab

Fix notebook text

Re-add regularization section, with weight distributions.

Autograph guide

Contribution to  Classification of crystallization outcomes using deep convolutional neural networks

processes all crystal growth images in directory and  sub directories and prints results to console, and a comma seperated file. Removes dependencies of google SDK(only dependent on tensorflow and python 2.7)

Fix relative links in linear notebook

* Add callbacks

* Add readme

* update readme

* fix some comments

* Address all comments

* Update docstrings

* Add method docstrings

* Update callbacks

* Add comments on global_step initialization

* Some updates

* Address comments

Add clarifications 

Add notebook fixing "wide" tutorial.

Add autograph guide

Mark estimator wide 2

Correct prediction probabilities in custom training walkthrough

Correct the prediction probabilities for Iris setosa and Iris virginica 
to match the prediction values in the image

* Add shorter timeout for GCP util.

* Add comment for change reason and unit for timeout.

Adding new features to extend the functionality and capability of the API

204489224  by Zhichao Lu:

    Modify ssd mobilenet v1 fpn config to be a bit more tolerant to OOM failure by bumping down the batch size to 64 and doubling the number of iterations to 25k. It now converges in 2.5 hours.

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204488942  by Zhichao Lu:

    Internal change

204480631  by Zhichao Lu:

    This CL makes sure that num_steps parameter are not updated to 0 if num_steps field is not mentioned in config.

    The default behavior for number of steps parameter for training is infinite (train forever). The default value num_steps in train.proto is 0 (for training indefinitely). However the estimator/training function expects the num_steps to be set to None to train indefinitely.

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204437217  by Zhichao Lu:

    Create a Docker image to support TensorFlow Lite / Object Detection blog post.

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204317570  by Zhichao Lu:

    Internal change

PiperOrigin-RevId: 204489224

Fix note about eager