tensorflow/tensorflow/examples/tutorials/word2vec/word2vec_basic.py at r0.7 · tensorflow/tensorflowYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - pvthuy/word2vec-visualization: [Reupload] Word Vectors Visualization in Tree Form
Word Vectors Visualization in Tree Form Authors: Van-Thuy Phi and Taishi Ikeda. Supervisor: Kevin Duh. Two types of distances: Cosine distance / Euclidean distance. Totally 8 different models for English and Japanese data. To run simple HTTP server: cd frontend && python -m http.server 8888. Main files and folders: backend HiraganaTimes_English the implementation of continuous bag-of-words and ski
![GitHub - pvthuy/word2vec-visualization: [Reupload] Word Vectors Visualization in Tree Form](https://cdn-ak-scissors.b.st-hatena.com/image/square/f5efb33cffc2355353197698063c506516152625/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F20ef18a4e8ca665e052b8917a94966920a777dae07060113589315d82910f650%2Fpvthuy%2Fword2vec-visualization)
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