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+# Overview
+
+
+## Variables: Creation, Initializing, Saving, and Restoring
+
+TensorFlow Variables are in-memory buffers containing tensors.  Learn how to
+use them to hold and update model parameters during training.
+
+[View Tutorial](variables/index.md)
+
+
+## TensorFlow Mechanics 101
+
+A step-by-step walk through of the details of using TensorFlow infrastructure
+to train models at scale, using MNIST handwritten digit recognition as a toy
+example.
+
+[View Tutorial](../tutorials/mnist/tf/index.md)
+
+
+## TensorBoard: Visualizing Your Training
+
+TensorBoard is a useful tool for visualizing the training and evaluation of
+your model(s).  This tutorial describes how to build and run TensorBoard as well
+as how to add Summary ops to automatically output data to the Events files that
+TensorBoard uses for display.
+
+[View Tutorial](summaries_and_tensorboard/index.md)
+
+
+## TensorBoard: Visualizing Your Graph
+
+This tutorial describes how to use the graph visualizer in TensorBoard to help
+you understand the dataflow graph and debug it.
+
+[View Tutorial](graph_viz/index.md)
+
+
+## Reading Data
+
+This tutorial describes the three main methods of getting data into your
+TensorFlow program: Feeding, Reading and Preloading.
+
+[View Tutorial](reading_data/index.md)
+
+
+## Threading and Queues
+
+This tutorial describes the various constructs implemented by TensorFlow
+to facilitate asynchronous and concurrent training.
+
+[View Tutorial](threading_and_queues/index.md)
+
+
+## Adding a New Op
+
+TensorFlow already has a large suite of node operations from which you can
+compose in your graph, but here are the details of how to add you own custom Op.
+
+[View Tutorial](adding_an_op/index.md)
+
+
+## New Data Formats
+
+If you have a sizable custom data set, you may want to consider extending
+TensorFlow to read your data directly in it's native format.  Here's how.
+
+[View Tutorial](new_data_formats/index.md)
+
+
+## Using One or More GPUs
+
+This tutorial describes how to construct and execute models on GPU(s).
+
+[View Tutorial](using_gpu/index.md)
+
+
+## Sharing Variables
+
+When deploying large models on multiple GPUs, or when unrolling complex LSTMs
+or RNNs, it is often necessary to access the same Variable objects from
+different locations in the model construction code.
+
+The "Variable Scope" mechanism is designed to facilitate that.
+
+[View Tutorial](variable_scope/index.md)
+
+<div class='sections-order' style="display: none;">
+<!--
+<!-- variables/index.md -->
+<!-- ../tutorials/mnist/tf/index.md -->
+<!-- summaries_and_tensorboard/index.md -->
+<!-- graph_viz/index.md -->
+<!-- reading_data/index.md -->
+<!-- threading_and_queues/index.md -->
+<!-- adding_an_op/index.md -->
+<!-- new_data_formats/index.md -->
+<!-- using_gpu/index.md -->
+<!-- variable_scope/index.md -->
+-->
+</div>
+