Mar 13, 2018
I was really happy because I could learn deep learning from Andrew Ng.
The lectures were fantastic and amazing.
I was able to catch really important concepts of sequence models.
Thanks a lot!
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.
By Tommy S•
Aug 9, 2018
Parts of the critical details are a little vague, but the intuition and experience provided are extremely valuable and useful for me!
By Nisar S•
Mar 18, 2018
Found it a bit harder to follow along. I believe this topic needs a more indepth treatment and possibly more time (4 weeks at least).
By Niklas V•
Nov 20, 2018
Really good course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization
By Allan C M•
Apr 18, 2018
The exercises are somewhat tough for this exercise I think the time should be extended by one week extra to complete the assignment.
By Jinfeng X•
Nov 29, 2019
The material is great. On the other hand, if we could get a lecture on Keras, it would help us work on the programming assignments.
By Marvin J A•
Mar 7, 2020
Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!
By Alexander T•
Jan 2, 2019
Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.
By raghuveer n•
Feb 18, 2018
Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course
By Sudhir K•
Dec 23, 2019
Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.
By Vaibhav C•
Feb 20, 2018
Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.
By GOURAB G R•
Feb 16, 2018
Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.
By Alisa K•
Feb 7, 2018
This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.
By Samuel W•
Aug 24, 2018
Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.
By Vanja T•
Feb 18, 2018
There were some puzzling parts to the programming assignments (number of trainable parameters), but overall very good course.
By Mollie C•
May 13, 2022
this course seemed glitchy compared to previous courses. some multi-answer quiz questions would only allow one answer, etc.
By Amit R B•
Jan 28, 2020
Excellent course overall, but the programming assignments left me feeling a it unprepared considering the previous lectures.
May 27, 2020
Very nicely explained and grateful for that. However, The assignements are little hard to follow from the previous courses.
By Joachim A•
Dec 21, 2018
I am grateful for this course, it literally is redefining my career and what I want to do. Thanks for the excellent course!
By AhAli A•
Jul 11, 2022
thank you so much for the material. pls do something with assignment of week4 to make it more constructive than confusive.
By Marijan S•
Apr 9, 2020
Some excercizes were subpar, and some were not interesting, but all in all very good course in which one can learn so much
By Vamsi V•
Oct 6, 2019
assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.
By Shubhankar K•
Jun 29, 2021
A little much in not so much amount of time. Could have had more videos. Otherwise great course and great course material
By Himanshu A•
Sep 28, 2018
Good introduction to RNNs, text/music generation, NLP etc.
Very comprehensible for intermediates and even beginners in ML.
By Vivek H•
Mar 19, 2023
Found the embeddings lectures & transformers lectures to be a bit confusing and could give a little bit more explanation
By Qiang C•
Feb 26, 2018
The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.