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.
MK
Mar 14, 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 Baliev D
•Aug 30, 2018
There are some annoying typos in programming assignements, especially in week 1, but overall a very good course!
By Gemeihong
•Jun 28, 2018
The course is terrific but the notebook experience is annoying, especially when you are using vpn to get access.
By Deniz K
•Jun 11, 2018
I give it 5 starts because there was nothing wrong with the course but it was sooooo boring. It was good overall
By Chongmo T
•Mar 8, 2018
Please correct the mistakes in the expected outputs in the homework assignments.
But overall it is a great course
By Marcelo F Z
•Apr 28, 2023
Great course, with very valuable material, especially the assignments, and Andrew Ng is a fantastic instructor!
By Eduardo A R
•Jan 14, 2021
This was an excellent course. The notebooks were very useful and helped to understand the concepts much better.
By Thar H S
•May 28, 2020
This the most simplest and useful course I have ever seen. Thank a lot deeplearing.ai for creating this course.
By sevil r
•Jun 3, 2019
the best and useful course for who desire to model sequences or extract spatio temporal features from sequences
By Matthias P
•Apr 6, 2018
By far the most challenging course in the specialisation but also very rewarding when you worked through it! :)
By Sergey P
•Feb 19, 2018
Excelent! Week3 PA have some errors that should be fixed. Threre is no GPU keras examples. Thank you very much!
By bao t c
•Jan 2, 2019
Shortest way to get used to most of the up-to-date techniques used in deep neural network for sequential data!
By Venkata R R R R
•Jun 17, 2024
Intuition , explanation and relevant labs provided good understanding to apply this to real time requirements
By phanidhar i
•Mar 9, 2024
Andrew is always exceptional and so is the course content. All my thanks to the course creators behind Andrew
By kritsada a
•Jun 17, 2020
This course very impressive, I have experienced a lot in deep learning, I re-cap theorem or something i miss.
By Yiyi J
•Apr 11, 2020
This is very helpful for a beginner in deep learning. Thank you Ng for offering such wonderful courses online
By Amit L
•Jun 30, 2023
Great course, I have learned a lot, great labs and the explanation is clear and well organized, Thanks a lot
By Alicia L
•Aug 20, 2020
Todos los ejercicios fueron de mucha utilidad y explicaron conceptos muy complejos de manera muy entendible.
By bala K K
•Feb 8, 2020
Excellent Course, Teaches RNN and LSTM from absolute scratch and its applications to process sequence models
By Damola O
•Jun 2, 2019
Insightful and very practical implementations. Thank you legendary Andrew Ng and Coursera for the privilege.
By Hao D
•Apr 8, 2019
the most difficult course of this series, it takes me really a long time to finish it, but i think it worth!
By Mischa L
•Feb 10, 2018
Very nice course on RNN. there are a couple of unpolished edges, but this is been quickly fine-tuned by TA's
By Song G
•Sep 2, 2020
Very clear demonstration of how models work. Clear and detailed instructions in exercises for easy hands-on
By Pushkar G
•Jun 13, 2020
This course taught me concept which I never thought I could apply to my chemistry research. Very well made.
By Khan S B H
•Apr 30, 2020
Amazing course! Lectures on RNN, LSTMs and Bi-LSTMs were amazing and the assignments were also very helpful
By Max F
•Apr 20, 2020
Thanks for all the hard work you've put in the course. I couldn't wish for a better start in deep learning.