Wide & Deep Learning for Recommender Systems 模型實踐
Wide & Deep 模型實踐 博客代碼均以上傳至GitHub，歡迎follow和start~~! 1. 數據集 數據集如下，其中，最後一行是label，預測收入是否超過5萬美元，二分類問題。 2. Wide Linear Model 離散特徵處理分爲兩種情況： 知道所有的不同取值，而且取值不多。tf.feature_column.categorical_column_with_vocabula
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相關文章
- 1. Wide &Deep Learning for Recommender Systems
- 2. Wide & Deep Learning for Recommender Systems
- 3. 《Wide & Deep Learning for Recommender Systems》論文總結
- 4. Wide & Deep Learning for Recommender Systems論文筆記
- 5. Wide & Deep Learning for Recommender Systems 翻譯
- 6. 論文筆記：Wide & Deep Learning for Recommender Systems
- 7. 論文筆記 - Wide & Deep Learning for Recommender Systems
- 8. #Paper Reading# Wide & Deep Learning for Recommender Systems
- 9. 論文閱讀：《Wide & Deep Learning for Recommender Systems》
- 10. （推薦系統）Wide&Deep算法：Wide & Deep Learning for Recommender Systems