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Diffstat (limited to 'tensorflow/docs_src/guide/embedding.md')
| -rw-r--r-- | tensorflow/docs_src/guide/embedding.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/docs_src/guide/embedding.md b/tensorflow/docs_src/guide/embedding.md index 8a98367dfb..6007e6847b 100644 --- a/tensorflow/docs_src/guide/embedding.md +++ b/tensorflow/docs_src/guide/embedding.md @@ -78,7 +78,7 @@ Embeddings can be trained in many network types, and with various loss functions and data sets. For example, one could use a recurrent neural network to predict the next word from the previous one given a large corpus of sentences, or one could train two networks to do multi-lingual translation. -These methods are described in the @{$word2vec$Vector Representations of Words} +These methods are described in the [Vector Representations of Words](../tutorials/representation/word2vec.md) tutorial. ## Visualizing Embeddings |