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.
I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!
By raghuveer n
•Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course
By Sudhir K
•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
•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
•Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.
By Alisa K
•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
•Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.
By Vanja T
•There were some puzzling parts to the programming assignments (number of trainable parameters), but overall very good course.
By Amit R B
•Excellent course overall, but the programming assignments left me feeling a it unprepared considering the previous lectures.
By Siddharth
•Very nicely explained and grateful for that. However, The assignements are little hard to follow from the previous courses.
By Joachim A
•I am grateful for this course, it literally is redefining my career and what I want to do. Thanks for the excellent course!
By Marijan S
•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
•assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.
By Himanshu A
•Good introduction to RNNs, text/music generation, NLP etc.
Very comprehensible for intermediates and even beginners in ML.
By Qiang C
•The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.
By Anxo T A
•Great course, specially the programming assignments, they help much mor than the videos to undertand the core concepts.
By Holman B
•Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working
By Anand S
•I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.
By Marcin K
•Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.
By Naveen K m
•Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.
By Agustín D
•Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.
By Paulo S
•Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.
By Jérémy M
•Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)
By Niranjan K
•Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing
By Li P Z
•Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...
By vincent p
•Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.