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1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/tensorboard/README.md b/tensorflow/tensorboard/README.md index 52762b9a8f..b3f6689302 100644 --- a/tensorflow/tensorboard/README.md +++ b/tensorflow/tensorboard/README.md @@ -54,18 +54,18 @@ work, but there may be bugs or performance issues. The first step in using TensorBoard is acquiring data from your TensorFlow run. For this, you need [summary -ops](https://www.tensorflow.org/versions/r0.11/api_docs/python/train.html#summary-operations). +ops](https://www.tensorflow.org/versions/r0.12/api_docs/python/train.html#summary-operations). Summary ops are ops, like -[`tf.matmul`](https://www.tensorflow.org/versions/r0.11/api_docs/python/math_ops.html#matmul) +[`tf.matmul`](https://www.tensorflow.org/versions/r0.12/api_docs/python/math_ops.html#matmul) or -[`tf.nn.relu`](https://www.tensorflow.org/versions/r0.11/api_docs/python/nn.html#relu), +[`tf.nn.relu`](https://www.tensorflow.org/versions/r0.12/api_docs/python/nn.html#relu), which means they take in tensors, produce tensors, and are evaluated from within a TensorFlow graph. However, summary ops have a twist: the Tensors they produce contain serialized protobufs, which are written to disk and sent to TensorBoard. To visualize the summary data in TensorBoard, you should evaluate the summary op, retrieve the result, and then write that result to disk using a summary.FileWriter. A full explanation, with examples, is in [the -tutorial](https://www.tensorflow.org/versions/r0.11/how_tos/summaries_and_tensorboard/index.html). +tutorial](https://www.tensorflow.org/versions/r0.12/how_tos/summaries_and_tensorboard/index.html). ### Tags: Giving names to data @@ -187,7 +187,7 @@ TensorFlow model. To get best use of the graph visualizer, you should use name scopes to hierarchically group the ops in your graph - otherwise, the graph may be difficult to decipher. For more information, including examples, see [the graph visualizer -tutorial](https://www.tensorflow.org/versions/r0.11/how_tos/graph_viz/index.html#tensorboard-graph-visualization). +tutorial](https://www.tensorflow.org/versions/r0.12/how_tos/graph_viz/index.html#tensorboard-graph-visualization). # Frequently Asked Questions |