We strongly encourage students to form study groups, and discuss the lecture videos (including in-video questions). We also encourage you to get together with friends to watch the videos together as a group. However, the answers that you submit for the review questions should be your own work. For the programming exercises, you are welcome to discuss them with other students, discuss specific algorithms, properties of algorithms, etc.; we ask only that you not look at any source code written by a different student, nor show your solution code to other students.
You are also not allowed to post your code publicly on github.
本人是一名AI爱好者,上coursera学习了这门课程,质量确实精良,收获颇多。非常支持你们的翻译行为,为很多学习者提供了方便。 但是我建议遵守coursera的规则,不要公开作业。呼吁作者尊重知识,尊重他人的劳动成果,也尊重他人获取知识快感。体面人做体面事,维护程序员的形象。
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以下是coursera作业之前的提醒:
Deep Learning Honor Code
We strongly encourage students to form study groups, and discuss the lecture videos (including in-video questions). We also encourage you to get together with friends to watch the videos together as a group. However, the answers that you submit for the review questions should be your own work. For the programming exercises, you are welcome to discuss them with other students, discuss specific algorithms, properties of algorithms, etc.; we ask only that you not look at any source code written by a different student, nor show your solution code to other students.
You are also not allowed to post your code publicly on github.