製作方:   多倫多大學

  • Geoffrey Hinton

    教學方:    Geoffrey Hinton, Professor

    Department of Computer Science
語言
English
如何通過通過所有計分作業以完成課程。
用戶評分
4.5 stars
Average User Rating 4.5查看學生的留言
授課大綱

常見問題解答
運作方式
課程作業
課程作業

每門課程都像是一本互動的教科書,具有預先錄製的視頻、測驗和項目。

來自同學的幫助
來自同學的幫助

與其他成千上萬的學生相聯繫,對想法進行辯論,討論課程材料,並尋求幫助來掌握概念。

證書
證書

獲得正式認證的作業,並與朋友、同事和雇主分享您的成功。

製作方
多倫多大學
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.
評分和審閱
已評分 4.5,總共 5 個 897 評分

Excellent course! Hinton is a superstar in the field who has made many discoveries in neural networks. He does an excellent job of explaining a number of key techniques. One of the best features was his commentary on the intuition behind why these methods work. Since he came up with a number of these ideas himself (or was part of the team that did) he has a unique insight into how you can think about a problem to motivate a possibly fruitful approach. The other aspect of the course that I liked best was Hinton's copious use of real-world examples and feedback about which methods worked well on certain problems and why. The course is fairly challenging but well worth the effort. Thank you for sharing your insights Professor Hinton!

Nice course, though a little shallow.

Mathematically intense, would like to repeat the course to understand the material even better. It has made me worthy of reading the research papers in this area... Thanks for this great course.

Excellent