制作方:   多伦多大学

  • Geoffrey Hinton

    教学方:    Geoffrey Hinton, Professor

    Department of Computer Science
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.5 stars
Average User Rating 4.5See what learners said
授课大纲

常见问题解答
运作方式
课程作业
课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

来自同学的帮助
来自同学的帮助

与其他成千上万的学生相联系,对想法进行辩论,讨论课程材料,并寻求帮助来掌握概念。

证书
证书

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制作方
多伦多大学
Established in 1827, the University of Toronto has one of the strongest research and teaching faculties in North America, presenting top students at all levels with an intellectual environment unmatched in depth and breadth on any other Canadian campus.
评分和审阅
已评分 4.5,总共 5 个 782 评分

Great course! have Learned a lot!

Awesome course.

课程难度很大,目前深度学习很流行

This is an advanced course and there are a lot of things that Geoffrey Hinton talks about casually which one has to read more about on one's own. The knowledge and clarity of the instructor is beyond doubt top notch. This course if quiet exhaustive and perhaps the best course on neural networks.