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.
Jul 01, 2019
The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.
Mar 11, 2018
por Pankaj J•
Mar 05, 2018
Great course, you guys have done it again :)
por Emilian A•
Apr 16, 2018
I find CNN/RNN courses very helpful, but I would highly recommend to improve the exercises. Some typo mistakes can result in hours wondering what is wrong.
por Chertushkin M•
Apr 01, 2018
por Oleksandr M•
Feb 09, 2018
Great course! As always, there are interesting lectures, useful assignments, etc.
Mar 30, 2018
por Fabian M•
Mar 14, 2018
Thank you for creating a course that provides so many insights into such a difficult topic. Were it not for this entire specialization I might still be lost looking for a way to enter the field of AI. Thanks a lot!
por Piyush B M•
Mar 27, 2018
Would be great if you could add a week on time series analysis, modelling and forecasting.
por Zein S•
Feb 15, 2018
This is not a good course, and even not a good tutor.. It is a great course and Andrew is really incredible tutor... I like this course so much and got tons of benefits...
I am so happy to take this course..
PS: You can add this review to the sentiment analysis data set
por Nand K p•
May 07, 2018
Superb course material! Eventful learning experience! Thanks a lot Andrew!
por Anand R•
May 07, 2018
To set the context, I have a PhD in Computer Engineering from the University of Texas at Austin. I am a working professional (13+ years), but just getting into the field of ML and AI. Apologies for flashing this preamble for every course that I review on coursera.
This course is the 5th and final one in a 5 part series offered by Dr. Andrew Ng on deep learning on coursera. I believe it is useful to take this course in order and it makes sense to study it as a part of the series, though technically that is not necessary.
This is one of the best courses to take if you want to understand the basics of Sequence Models (Recurrent Neural Networks). RNN is a technically-difficult-to-understand, still-evolving field of Neural Networks, and it has thus far found remarkable uses in a wide variety of field, ranging from Natural Language Processing (NLP) to Voice-to-Text conversion and Music Synthsis, to name a few. Dr. Ng really exposes us to this cutting edge research, by explaining research papers that were only recently published. By now, I could see how the problems would be tackled. However, there are several subtle aspects, such as the optimal metrics to use, the clever modification in the NN architecture, etc. which Dr. Ng drew attention to and made clear.
The instructor videos are very good, usually 10 min long, and Dr. Ng tries hard to provide intuition using analogies and real-life examples. The quizzes that accompany the lectures are quite challenging and help ensure that the student has understood the material well. As with the other courses, the programming exercises are the best part of the course. You get to practice, (1) Music synthesis, (2) NLP and Sentiment Analysis, (3) Trigger Word Detection (Hello Google, Hey Siri, Alexa!), ... All these problems are actual, real-life projects, which are extremely difficult to solve. They help the student practice the strategies and also provide a jump-start for the student to use the code for their own problems at work or in school.
Overall, this is an excellent course. Thank you Dr Ng and the teaching assistants, Thank you coursera.
I HAVE A HUGE GRIPE WITH COURSERA's TECHNICAL SUPPORT. THEY DO NOT HAVE A READILY AVAILABLE TECH-SUPPORT EMAIL ID. YOU HAVE TO SEARCH THROUGH THE WEBSITE CAREFULLY TO FIND A CHAT LINK. I HAVE RECOMMENDED COURSERA TO SEVERAL FRIENDS AND MANY OF THEM ARE VERY UPSET AT THE SUBSCRIPTION POLICY, WHICH IS SNEAKY. IN FACT THE WORDING IS ALMOST DESIGNED TO CHEAT YOU.
I have been a huge supporter of Coursera and hate to give this negative feedback here. I would have easily subscribed to many other useful and important coursers that Coursera offers, but will now be doubly careful about doing so.
por Frank T•
Feb 20, 2018
I think it is a great course. There are some issues here and there with notebooks and related materials. However, considering the large and detailed amount of content in this course and it being a new course, things not being 100% perfect is OK by me. I would rather have the thoughtful content and exercises, versus something much lighter that would be easier to produce. Thank you to all who prepare these courses.
por Gaurav K•
Mar 23, 2018
Thank you Prof Andrew Ng for sharing the knowledge and experience. It has been truly a great learning during the course specialization. And I always admire the way you structure the course and teach the advanced concepts with such an ease. With the power of AI, we as a community try to solve real-world challenges for better life. Thank you so much!
por Michael D•
Mar 23, 2018
Worthwhile conclusion to the deep learning specialization.
por Vivek S•
Apr 15, 2018
Excellent course for beginners. Andrew NG and team has done tremendous job by putting together all those contents together.
por Jie Z•
Mar 20, 2018
por Solomon W•
Feb 12, 2018
Very frustrating grader. Really time wasting. What is this team trying to accomplish with such disorganized efforts? I hope to see more improvements in the future. I have just completed week1's assignments and revising my reviews from 1 to 4 because the course content is really good and has softened the disappointments caused by the grader.
After week1, the grader frustrations eased as it was working more and more consistently. Most importantly, I learned lots of cool stuff and so I am revising my reviews from 4 to 5. I hope all grader issues are now resolved.
por vasu k•
Mar 26, 2018
Excellent course with great assignments
por Kelvin K•
May 22, 2018
Very clear and easy to understand.
por Zeev S•
Feb 11, 2018
practical with reasonable theory depth of the theory behind. Good exercises.
por Tejas L•
Feb 18, 2018
What an amazing course!
Week3 assignments blew my mind! Some core engineering problems too
por Joel G•
Feb 15, 2018
Entertaining and precise
por Yunfei D•
Apr 15, 2018
I've learnt a lot from this series.
Feb 14, 2018
Pretty good, for learning recurrent neural network and neural machine translation, and I learned a lot about Keras in the program assignments.
por Luis A H G•
Feb 26, 2018
Excellent course. Very practical with a lot of coding exercises.