Mar 14, 2018
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!
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.
von 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.
von 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.
von 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.
von Alisa K•
Feb 08, 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.
von 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.
von Vanja T•
Feb 18, 2018
There were some puzzling parts to the programming assignments (number of trainable parameters), but overall very good course.
von 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.
von 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!
von Marijan S•
Apr 09, 2020
Some excercizes were subpar, and some were not interesting, but all in all very good course in which one can learn so much
von vamsi v•
Oct 06, 2019
assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.
von Himanshu A•
Sep 28, 2018
Good introduction to RNNs, text/music generation, NLP etc.
Very comprehensible for intermediates and even beginners in ML.
von 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.
von Holman B•
Mar 15, 2019
Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working
von Anand S•
May 07, 2020
I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.
von Marcin K•
Sep 30, 2019
Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.
von Naveen K m•
Jul 07, 2019
Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.
von Agustín D•
Apr 10, 2018
Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.
von Paulo S•
Mar 09, 2018
Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.
von Jérémy M•
Jun 06, 2020
Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)
von Niranjan K•
Apr 28, 2020
Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing
von Li P Z•
Jan 03, 2020
Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...
von Vincent P•
Oct 16, 2019
Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.
von Václav R•
Aug 05, 2019
Nice intro in recurrent neural networks.
I'd prefer more focus on why the architectures are designed the way they are.
von Scott R•
Mar 16, 2018
I would have liked to have had an assignment covering beam search but overall it was excellent introduction to RNNs.