автор: JY
•Oct 30, 2018
The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.
автор: NM
•Feb 21, 2018
Hope can elaborate the backpropagation of RNN much more. BP through time is a bit tricky though we do not need to think about it during implementation using most of existing deep learning frameworks.
Рецензии: 1,307
автор: J. Christopher Bare
•Feb 17, 2019
Thanks very much. This course was really fun. I can't wait to try using these ideas outside of class!
автор: Mo Rebaie
•Feb 17, 2019
Thank you coursera, Thank you Sir Andrew NG, I just finished the specialization, it seems extremely helpful, It's the most important specialization I have ever seen.
автор: Andrei Kazialetski
•Feb 16, 2019
Thank you very much!
автор: Andrei Voinea
•Feb 15, 2019
A very good final for the Deep Learning Specialization. This course has made it very easy for me to understand new research papers that involve LSTM and RNN networks
автор: Yingyu Fu
•Feb 15, 2019
Great course on sequence models! I never hear do detailed course
автор: Adrian Nedelchev Kazakov
•Feb 14, 2019
It was an unbelievable journey through this Deep Learning Specialization! I really felt the power of the tools I obtained during the past 3 weeks that it took me to pass all 5 courses of the specialization. Many of the Programming Assignments are demanding and in the end I could be extremely satisfied that I succeeded in taking them all. Thanks a lot to Andrew Ng and all involved for making this sequence of courses accessible to people like me, and presenting it in such an understandable and interesting way! Now, I can start thinking of the vast potential for using Deep Neural Networks not only in Research and Space Sciences, where my interests are, but also in my daily life. Very many thanks again! AJ
автор: Lai yi chen
•Feb 14, 2019
很棒的課程,我也會推薦我的朋友來學習,時間序列模型真的相當有難度推薦有學習過的朋友來試試看
автор: Youssef Awny Saadallah Toma
•Feb 13, 2019
THANK YOU <3
автор: 梁礼强
•Feb 13, 2019
Andrew is cool!!Nice course!
автор: Zifei Shan
•Feb 13, 2019
Great course teaching state-of-the art NLP technologies. I wish the attention notebook could be improved, and the projects could get more flexible and in-depth. I also wish there could be a Keras tutorial that gives an overview of the framework.