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.
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.