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B站的唐宇迪深度學(xué)習(xí)項(xiàng)目實(shí)戰(zhàn)附帶的自然語言處理word2vec代碼。Word2vec，是一群用來產(chǎn)生詞向量的相關(guān)模型。這些模型為淺而雙層的神經(jīng)網(wǎng)絡(luò)，用來訓(xùn)練以重新建構(gòu)語言學(xué)之詞文本。網(wǎng)絡(luò)以詞表現(xiàn)，并且需猜測(cè)相鄰位置的輸入詞，在word2vec中詞袋模型假設(shè)下，詞的順序是不重要的。訓(xùn)練完成之后，word2vec模型可用來映射每個(gè)詞到一個(gè)向量，可用來表示詞對(duì)詞之間的關(guān)系，該向量為神經(jīng)網(wǎng)絡(luò)之隱藏層。

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代碼片段和文件信息

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2016-11-13?09:19??kaggle-word2vec\data\
?????文件????33556378??2014-07-31?01:17??kaggle-word2vec\data\labeledTrainData.tsv
?????文件??????282796??2016-11-13?09:10??kaggle-word2vec\data\sampleSubmission.csv
?????文件????32724746??2014-07-31?01:17??kaggle-word2vec\data\testData.tsv
?????文件????67281491??2014-07-31?01:17??kaggle-word2vec\data\unlabeledTrainData.tsv
?????目錄???????????0??2017-08-11?14:11??kaggle-word2vec\models\
?????文件????44981600??2017-08-11?15:00??kaggle-word2vec\models\300features_40minwords_10context.model
?????目錄???????????0??2017-08-15?21:17??kaggle-word2vec\notebooks\
?????目錄???????????0??2017-08-15?19:29??kaggle-word2vec\notebooks\.ipynb_checkpoints\
?????文件???????10758??2016-11-13?10:13??kaggle-word2vec\notebooks\.ipynb_checkpoints\2.word2vec?modeling-checkpoint.ipynb
?????文件???????49823??2016-11-13?16:12??kaggle-word2vec\notebooks\.ipynb_checkpoints\3.?word2vec?and?classifiers?modeling-checkpoint.ipynb
?????文件???????25693??2016-11-13?10:08??kaggle-word2vec\notebooks\.ipynb_checkpoints\word2vec-checkpoint.ipynb
?????文件???????94256??2017-08-15?21:17??kaggle-word2vec\notebooks\word2vec.ipynb
?????文件????????7528??2016-11-13?09:58??kaggle-word2vec\stopwords.txt

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