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Diffstat (limited to 'tensorflow/g3doc/get_started/index.md')
-rw-r--r-- | tensorflow/g3doc/get_started/index.md | 8 |
1 files changed, 6 insertions, 2 deletions
diff --git a/tensorflow/g3doc/get_started/index.md b/tensorflow/g3doc/get_started/index.md index 0c58b969c7..3fce5e9d89 100644 --- a/tensorflow/g3doc/get_started/index.md +++ b/tensorflow/g3doc/get_started/index.md @@ -1,4 +1,4 @@ -# Introduction <a class="md-anchor" id="AUTOGENERATED-introduction"></a> +# Introduction Let's get you up and running with TensorFlow! @@ -43,6 +43,10 @@ for step in xrange(0, 201): # Learns best fit is W: [[0.100 0.200]], b: [0.300] ``` +The first part of this code builds the data flow graph. TensorFlow does not +actually run any computation until the session is created and the `run` +function is called. + To whet your appetite further, we suggest you check out what a classical machine learning problem looks like in TensorFlow. In the land of neural networks the most "classic" classical problem is the MNIST handwritten digit @@ -67,7 +71,7 @@ these and charge ahead. Don't worry, you'll still get to see MNIST -- we'll also use MNIST as an example in our technical tutorial where we elaborate on TensorFlow features. -## Recommended Next Steps: <a class="md-anchor" id="AUTOGENERATED-recommended-next-steps-"></a> +## Recommended Next Steps: * [Download and Setup](../get_started/os_setup.md) * [Basic Usage](../get_started/basic_usage.md) * [TensorFlow Mechanics 101](../tutorials/mnist/tf/index.md) |