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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-03-15 10:02:39 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-03-15 11:26:12 -0700
commitd0acae66dc1920ec95c10c0bfd1a60851ea48e49 (patch)
tree4250b8865f8c1d4fc76cfad66951de083397e7bc
parent8f75f24a52a7645a4ef93cbe244d45d30d5e4a3f (diff)
A landing page for "GET STARTED"
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-rw-r--r--tensorflow/docs_src/get_started/index.md41
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diff --git a/tensorflow/docs_src/get_started/index.md b/tensorflow/docs_src/get_started/index.md
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+# Getting Started
+
+For a brief overview of TensorFlow programming fundamentals, see the following
+guide:
+
+ * @{$getting_started/get_started$Getting Started with TensorFlow}
+
+MNIST has become the canonical dataset for trying out a new machine learning
+toolkit. We offer three guides that each demonstrate a different approach
+to training an MNIST model on TensorFlow:
+
+ * @{$mnist/beginners$MNIST for ML Beginners}, which introduces MNIST through
+ the high-level API.
+ * @{$mnist/pros$Deep MNIST for Experts}, which is more-in depth than
+ "MNIST for ML Beginners," and assumes some familiarity with machine
+ learning concepts.
+ * @{$tutorials/mnist$TensorFlow Mechanics 101}, which introduces MNIST through
+ the low-level API.
+
+For developers new to TensorFlow, the high-level API is a good place to start.
+To learn about the high-level API, read the following guides:
+
+ * @{$get_started/tflearn$tf.contrib.learn Quickstart}, which introduces this
+ API.
+ * @{$get_started/input_fn$Building Input Functions with tf.contrib.learn},
+ which takes you into a somewhat more sophisticated use of this API.
+ * @{$get_started/monitors$Logging and Monitoring Basics with tf.contrib.learn},
+ which explains how to audit the progress of model training.
+
+TensorBoard is a utility to visualize different aspects of machine learning.
+The following guides explain how to use TensorBoard:
+
+ * @{$get_started/summaries_and_tensorboard$TensorBoard: Visualizing Learning},
+ which gets you started.
+ * @{$get_started/embedding_viz$TensorBoard: Embedding Visualization}, which
+ demonstrates how to view and interact with high-dimensional data, such as
+ embeddings.
+ * @{$get_started/graph_viz$TensorBoard: Graph Visualization}, which explains
+ how to visualize the computational graph. Graph visualization is typically
+ more useful for programmers using the low-level API.
+
diff --git a/tensorflow/docs_src/get_started/leftnav_files b/tensorflow/docs_src/get_started/leftnav_files
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+index.md
get_started.md
mnist/beginners.md
mnist/pros.md
mnist/mechanics.md
tflearn.md
input_fn.md
+monitors.md
summaries_and_tensorboard.md
embedding_viz.md
graph_viz.md
-monitors.md