diff options
author | 2017-03-15 10:02:39 -0800 | |
---|---|---|
committer | 2017-03-15 11:26:12 -0700 | |
commit | d0acae66dc1920ec95c10c0bfd1a60851ea48e49 (patch) | |
tree | 4250b8865f8c1d4fc76cfad66951de083397e7bc | |
parent | 8f75f24a52a7645a4ef93cbe244d45d30d5e4a3f (diff) |
A landing page for "GET STARTED"
Change: 150213840
-rw-r--r-- | tensorflow/docs_src/get_started/index.md | 41 | ||||
-rw-r--r-- | tensorflow/docs_src/get_started/leftnav_files | 3 |
2 files changed, 43 insertions, 1 deletions
diff --git a/tensorflow/docs_src/get_started/index.md b/tensorflow/docs_src/get_started/index.md new file mode 100644 index 0000000000..8fe1625311 --- /dev/null +++ b/tensorflow/docs_src/get_started/index.md @@ -0,0 +1,41 @@ +# 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 index c24425fdf5..d688d27ae2 100644 --- a/tensorflow/docs_src/get_started/leftnav_files +++ b/tensorflow/docs_src/get_started/leftnav_files @@ -1,10 +1,11 @@ +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 |