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| author |  Daniel Cardenas <DanielCar@google.com> | 2017-06-12 06:21:21 -0700 |
|---|---|---|
| committer |  Shanqing Cai <cais@google.com> | 2017-06-12 09:21:21 -0400 |
| commit | d184ff923cea0fd35f150115c773a0185ce6283e (patch) | |
| tree | 036fc561838d123c28bc40a58db67ec51fadacf2 | |
| parent | 9a15e0a01d4cbdcf8cbf81f6942e99b1a1d16428 (diff) | |
Add link that helps explain feed_dict parameter (#10637)
* Add link that helps explain feed_dict parameter
The current tutorial mentions using feed_dict parameter, but there is not further mention. The example code does not explain where feed_dict is used. By linking to the run documentation, the reader can see it is the second parameter to the run command.
* Create get_started.md
| -rw-r--r-- | tensorflow/docs_src/get_started/get_started.md | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/tensorflow/docs_src/get_started/get_started.md b/tensorflow/docs_src/get_started/get_started.md index 00cc10cd34..c1c68f9c12 100644 --- a/tensorflow/docs_src/get_started/get_started.md +++ b/tensorflow/docs_src/get_started/get_started.md @@ -138,8 +138,9 @@ adder_node = a + b # + provides a shortcut for tf.add(a, b) The preceding three lines are a bit like a function or a lambda in which we define two input parameters (a and b) and then an operation on them. We can -evaluate this graph with multiple inputs by using the feed_dict parameter to -specify Tensors that provide concrete values to these placeholders: +evaluate this graph with multiple inputs by using the feed_dict argument to +the [run method](https://www.tensorflow.org/api_docs/python/tf/Session#run) +to feed concrete values to the placeholders: ```python print(sess.run(adder_node, {a: 3, b:4.5})) |