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diff --git a/tensorflow/docs_src/guide/index.md b/tensorflow/docs_src/guide/index.md index 1c920e7d70..50499582cc 100644 --- a/tensorflow/docs_src/guide/index.md +++ b/tensorflow/docs_src/guide/index.md @@ -5,38 +5,38 @@ works. The units are as follows: ## High Level APIs - * @{$guide/keras}, TensorFlow's high-level API for building and + * [Keras](../guide/keras.md), TensorFlow's high-level API for building and training deep learning models. - * @{$guide/eager}, an API for writing TensorFlow code + * [Eager Execution](../guide/eager.md), an API for writing TensorFlow code imperatively, like you would use Numpy. - * @{$guide/datasets}, easy input pipelines to bring your data into + * [Importing Data](../guide/datasets.md), easy input pipelines to bring your data into your TensorFlow program. - * @{$guide/estimators}, a high-level API that provides + * [Estimators](../guide/estimators.md), a high-level API that provides fully-packaged models ready for large-scale training and production. ## Estimators -* @{$premade_estimators}, the basics of premade Estimators. -* @{$checkpoints}, save training progress and resume where you left off. -* @{$feature_columns}, handle a variety of input data types without changes to the model. -* @{$datasets_for_estimators}, use `tf.data` to input data. -* @{$custom_estimators}, write your own Estimator. +* [Premade Estimators](../guide/premade_estimators.md), the basics of premade Estimators. +* [Checkpoints](../guide/checkpoints.md), save training progress and resume where you left off. +* [Feature Columns](../guide/feature_columns.md), handle a variety of input data types without changes to the model. +* [Datasets for Estimators](../guide/datasets_for_estimators.md), use `tf.data` to input data. +* [Creating Custom Estimators](../guide/custom_estimators.md), write your own Estimator. ## Accelerators - * @{$using_gpu} explains how TensorFlow assigns operations to + * [Using GPUs](../guide/using_gpu.md) explains how TensorFlow assigns operations to devices and how you can change the arrangement manually. - * @{$using_tpu} explains how to modify `Estimator` programs to run on a TPU. + * [Using TPUs](../guide/using_tpu.md) explains how to modify `Estimator` programs to run on a TPU. ## Low Level APIs - * @{$guide/low_level_intro}, which introduces the + * [Introduction](../guide/low_level_intro.md), which introduces the basics of how you can use TensorFlow outside of the high Level APIs. - * @{$guide/tensors}, which explains how to create, + * [Tensors](../guide/tensors.md), which explains how to create, manipulate, and access Tensors--the fundamental object in TensorFlow. - * @{$guide/variables}, which details how + * [Variables](../guide/variables.md), which details how to represent shared, persistent state in your program. - * @{$guide/graphs}, which explains: + * [Graphs and Sessions](../guide/graphs.md), which explains: * dataflow graphs, which are TensorFlow's representation of computations as dependencies between operations. * sessions, which are TensorFlow's mechanism for running dataflow graphs @@ -46,19 +46,19 @@ works. The units are as follows: such as Estimators or Keras, the high-level API creates and manages graphs and sessions for you, but understanding graphs and sessions can still be helpful. - * @{$guide/saved_model}, which + * [Save and Restore](../guide/saved_model.md), which explains how to save and restore variables and models. ## ML Concepts - * @{$guide/embedding}, which introduces the concept + * [Embeddings](../guide/embedding.md), which introduces the concept of embeddings, provides a simple example of training an embedding in TensorFlow, and explains how to view embeddings with the TensorBoard Embedding Projector. ## Debugging - * @{$guide/debugger}, which + * [TensorFlow Debugger](../guide/debugger.md), which explains how to use the TensorFlow debugger (tfdbg). ## TensorBoard @@ -66,17 +66,17 @@ works. The units are as follows: TensorBoard is a utility to visualize different aspects of machine learning. The following guides explain how to use TensorBoard: - * @{$guide/summaries_and_tensorboard}, + * [TensorBoard: Visualizing Learning](../guide/summaries_and_tensorboard.md), which introduces TensorBoard. - * @{$guide/graph_viz}, which + * [TensorBoard: Graph Visualization](../guide/graph_viz.md), which explains how to visualize the computational graph. - * @{$guide/tensorboard_histograms} which demonstrates the how to + * [TensorBoard Histogram Dashboard](../guide/tensorboard_histograms.md) which demonstrates the how to use TensorBoard's histogram dashboard. ## Misc - * @{$guide/version_compat}, + * [TensorFlow Version Compatibility](../guide/version_compat.md), which explains backward compatibility guarantees and non-guarantees. - * @{$guide/faq}, which contains frequently asked + * [Frequently Asked Questions](../guide/faq.md), which contains frequently asked questions about TensorFlow. |