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author | Vincent Vanhoucke <vanhoucke@google.com> | 2017-07-13 10:27:09 -0700 |
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committer | Frank Chen <frankchn@gmail.com> | 2017-07-13 10:27:09 -0700 |
commit | d6082e09668a655ef6e4404fdbcad1224f29c2fb (patch) | |
tree | 620e2124571bae5f4bf581e51db2514a65631aeb /tensorflow/examples/udacity | |
parent | 57a6f8e0bae1b567a0f67fe1f1bfb7b5d514d714 (diff) |
Fix TSNE invocation in Udacity word2vec assignment (#11482)
Default TSNE method recently changed to the approximate `method='barnes_hut'` which fails to converge per https://github.com/tensorflow/tensorflow/pull/11455
Diffstat (limited to 'tensorflow/examples/udacity')
-rw-r--r-- | tensorflow/examples/udacity/5_word2vec.ipynb | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/examples/udacity/5_word2vec.ipynb b/tensorflow/examples/udacity/5_word2vec.ipynb index 9d4243d7ae..18c456cad7 100644 --- a/tensorflow/examples/udacity/5_word2vec.ipynb +++ b/tensorflow/examples/udacity/5_word2vec.ipynb @@ -806,7 +806,7 @@ "source": [ "num_points = 400\n", "\n", - "tsne = TSNE(perplexity=30, n_components=2, init='pca', n_iter=5000)\n", + "tsne = TSNE(perplexity=30, n_components=2, init='pca', n_iter=5000, method='exact')\n", "two_d_embeddings = tsne.fit_transform(final_embeddings[1:num_points+1, :])" ], "outputs": [], |