JY
Oct 29, 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.
MK
Mar 13, 2024
Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects
By Jesper K
•Aug 13, 2018
This is an excellent coverage of sequence models. Very interesting applications, clear content. Thank you!
By Sanjeev K S
•Apr 22, 2018
This course given me the basic understanding about analyzing sequence data with the help of deep learning.
By Jozef R
•Feb 26, 2018
Great course! Thank you professor Ng! Thank to yout I'm motivated to continue to learn more in this field!
By Dongxiao H
•Feb 5, 2018
Thank you, Professor.
If it's not your intuition for these videos, I will still confuse the details of RNN.
By Xh L
•Mar 7, 2020
In the course of this course, I built my own sequence model and realized it step by step, which is great.
By Jitin K
•Sep 22, 2019
Intuitive and clear videos and explanations. Excellent programming assignments! Thanks to the whole team!
By HAMID S
•Dec 15, 2018
Wonderful course with beautiful intuitions all around , one thing though bit of more mathematics involved
By Rajesh K
•Oct 5, 2018
Suggestion:
It would have been great if the topics related speech recognition was covered more in detail.
By Alexey I
•Apr 1, 2018
It would be nice to have an additional course on VAE, GANs, CNN-based NLP, and the rest of bleeding edge.
By Jingying W
•Jun 25, 2020
Amazing course! Finally get more familiar with LSTM structure and encoder-decoder architecture! So happy
By adolfo b
•Oct 18, 2019
This was another great course from Dr. Andrew Ng. I feel like I now have a firm grasp of how RNNs work.
By Intan D Y
•Oct 9, 2018
need to focus on learning this course because the material is complex. also need to practice using Keras
By Achen
•May 5, 2018
clear delivery, practial, comprenhensive, good learning pace, well calibrated feedback and vibrate forum
By Andres V
•May 1, 2018
great I really like the content of all the specialization and the hands on projects. thank you so much !
By Phan Q K N
•Mar 4, 2022
So satisfied and happy learning this course. I absorbed many interesting knowledge after this course :D
By ANMOL J
•Aug 27, 2020
Just Absolutely Amazing!
Thank you deeplearning.ai to provide this wonderful in-depth specialization !!!
By Hamza J
•Jun 21, 2020
gave a good and in depth understanding of the RNN i was having a hard time on it but now i find it easy
By Krunoslav O
•Jun 1, 2020
It must be a lot of hard work to plan the courses and make all the material.
Thanks for all the efforts!
By Erik H
•Aug 5, 2019
Great ending to the Deep Learning Specialization. Really enjoyed the insightful content of this course
By pavan k p
•Jul 5, 2018
Very nicely organized. Professor Andrew is a great teacher.Loved the course and enjoyed the assignments
By 杨弘毅
•Jun 1, 2018
I have finished Course 5 [Sequence Modles], and I found that it helps me a lot. Thank you! Dr.Andrew Ng
By Rich Y
•Apr 27, 2018
Very awesome! Great for my career in future~ Thanks for Ag's efforts, and thanks for my own insistence!
By Aschwin
•Mar 12, 2018
I feel that the theory behind sequence models is a little bit rushed. I would have liked to so an excer
By Valentin A
•Mar 11, 2018
Amazing how such a "cutting-edge" technology is explained in such a friendly and understandable manner.
By Chao ( Z
•Feb 15, 2018
Definitely helpful for my research! Thank you for the endeavor to make this series of courses possible!