Wide and Deep Learning（2）tf代碼實現
https://zhuanlan.zhihu.com/p/43328492 1、數據 人口普查數據： 查看data： 特徵進行處理： 連續的特徵，包含這些： CONTINUOUS_COLUMNS = ["age", "education_num", "capital_gain", "capital_loss",
"hours_per_week"] 離散的
相關文章
- 1. Wide&Deep——tf 代碼
- 2. Wide and Deep Learning（1）原理
- 3. Wide & Deep Learning Model
- 4. Wide & Deep Learning for Recommender Systems
- 5. Wide & Deep Learning模型介紹
- 6. 【CTR預估】The Wide and Deep Learning Model（譯文+Tensorlfow源碼解析）
- 7. （推薦系統）Wide&Deep算法：Wide & Deep Learning for Recommender Systems
- 8. Wide &Deep Learning for Recommender Systems
- 9. Wide & Deep Learning for Recommender Systems 模型實踐
- 10. neural networks and deep learning-chapter1-2
- 更多相關文章...
- • Markdown 代碼 - Markdown 教程
- • Eclipse 代碼模板 - Eclipse 教程
- • IntelliJ IDEA代碼格式化設置
- • ☆基於Java Instrument的Agent實現
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Wide&Deep——tf 代碼
- 2. Wide and Deep Learning（1）原理
- 3. Wide & Deep Learning Model
- 4. Wide & Deep Learning for Recommender Systems
- 5. Wide & Deep Learning模型介紹
- 6. 【CTR預估】The Wide and Deep Learning Model（譯文+Tensorlfow源碼解析）
- 7. （推薦系統）Wide&Deep算法：Wide & Deep Learning for Recommender Systems
- 8. Wide &Deep Learning for Recommender Systems
- 9. Wide & Deep Learning for Recommender Systems 模型實踐
- 10. neural networks and deep learning-chapter1-2