Loading...

Neural networks for characters

Course video 11 of 43

In this module we will have two parts: first, a broad overview of NLP area and our course goals, and second, a text classification task. It is probably the most popular task that you would deal with in real life. It could be news flows classification, sentiment analysis, spam filtering, etc. You will learn how to go from raw texts to predicted classes both with traditional methods (e.g. linear classifiers) and deep learning techniques (e.g. Convolutional Neural Nets).

国立高等经济大学
4.6(366 个评分) | 35K 名学生已注册
课程 6(共 7 门,高级机器学习 专项课程

关于 Coursera

课程、专项课程和在线学位均由全世界一流大学和教育机构的顶尖授课教师教授。

Community
Join a community of 40 million learners from around the world
Certificate
Earn a skill-based course certificate to apply your knowledge
Career
Gain confidence in your skills and further your career