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| author | Soumith Chintala <soumith@fb.com> | 2016-07-26 01:17:44 +0300 |
|---|---|---|
| committer | Soumith Chintala <soumith@fb.com> | 2016-07-26 01:17:44 +0300 |
| commit | 782fd6307ca13c840737ee5f6f0d0780210fbc4d (patch) | |
| tree | 1c56e94d5dee32f8916c671be20fe5b2dd2d5332 | |
| parent | c6818d3e2be3af1dadf8eba69f52f4fc915eeb42 (diff) | |
fixing links
| -rw-r--r-- | blog/_posts/2016-07-25-nce.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/blog/_posts/2016-07-25-nce.md b/blog/_posts/2016-07-25-nce.md index 2bd1641..a738e16 100644 --- a/blog/_posts/2016-07-25-nce.md +++ b/blog/_posts/2016-07-25-nce.md @@ -83,7 +83,7 @@ Our task is to build a language model which maximizes the likelihood of the next word given the history of previous words in the sentence. The following figure illustrates the workings of a simple recurrent neural network (Simple RNN) language model: - +<p align='center'><img width="100%" src="https://raw.githubusercontent.com/torch/torch.github.io/master/blog/_posts/images/rnnlm.png"></p> The exact implementation is as follows: |