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.
von Michael D A•
Jul 12, 2018
Super-nice! Thank you Professor Andrew Ng
von Mykola S•
Jul 13, 2018
Great intro into Deep Learning! Thanks!
Feb 20, 2018
Awesome course! A bit harder than others but pretty good!
von Karl S•
Feb 18, 2018
This should be required material for anyone going into deep learning from another field.
von Komal S•
May 17, 2018
von ANGIRA S•
Mar 31, 2018
Having done the previous courses or not, this course will teach a whole lot about the past, present and future of NLP. At the end, as Prof. Andrew Ng has said, one can feel proud about how easily a topic can be explained with the help of just one slide.
May 06, 2018
While taking this course I was feeling that sequence modeling is Andrew Ng's favourite topic. Great course!
von Eyad E•
Feb 22, 2018
Excellent course, just like all other courses of this specialisation. I highly recommend the whole specialisation for any one serious about DL. Thanks Prof Ng and thanks for his team for such great efforts.
von Adam S•
Apr 08, 2018
Great course! Very step by step and very practical. The legend does it again.
Apr 26, 2018
von Nishant S•
Feb 13, 2018
good course...assignments are great allowing one to understand the activities in detail.
von Matthew J C•
Mar 28, 2018
The last course is in this series does not disappoint. I found this course to be more difficult than the others; likely because I had very little prior exposure to recurrent neural networks. However, this course is worth the effort as it opens up a realm of new possibilities; text, audio & time-series data. Whether you need to detect, classify or translate sequences, or even generate new sequences in the vein of some examples, this course is for you. There are several high-level APIs for performing these tasks but having a deeper understanding of what these APIs are doing is invaluable to your success. Take this course.
von Ricardo F•
Feb 18, 2018
Another amazing course developed by Dr. Ng! This series of courses probably is the best deep learning training available on-line.
von Alouini M Y•
Feb 20, 2018
This was for me the best course on the deeplearning.ai series since I am a complete novice regarding sequence models. Nonetheless, I have managed to learn a lot and the material was very good (with often state of the art techniques). The assignments were excellent as well!
von yangfan x•
Mar 29, 2018
The video lectures are awesome. But the project is too fast-paced. I feel I am just following the instruction and keras doc, instead of understanding how keras works. Testing me how to create dict in Python didn't make me feel happy. Thanks!
von Alejandro A•
Apr 15, 2018
A year ago I was basically "on blank" in regards of Machine Learning.
I've started "my journey" on ML about 9 months ago, with a text book I've got on Amazon called "Data Mining, Practical Machine Learning Tools and Techniques", Self taught I've read, transcribed, done some math, covered the half of it. But I needed something more practical to speed up, so I've tried also with the coursesfrom "Super Data Science"'s team on Udemy, but found them to be too focused on practice rather than deep reasoning of it (I might be wrong but that's the impression I had); So I needed more formal, University-like.
I've decided to try out Andrew's first course on Machine Learning (with Matlab), which gave me much greater view and understanding, had my head melting specially on weeks 4-6, but after finishing the course I've felt I did finally know what ML was! but still there was "a lot missing", given the course was already a bit old, and the technology had developed greatly since then.
Fortunately to me, I've found out about this specialisation right after I've finished the first course and I've signed up immediately. Today (14.4.2018) I've finished the second specialisation. After 6 months of continuos dedication, doing the first 3 month course, plus this 3 month specialisation.
Homeworks in Matlab and Python were my next challenge, even I'm a developer for 15 years (C# / Java, C). Combining a lot of new theory in a new language made it harder but also satisfying.
I'm the kind of person that needs to understand why things work as they work, that might be my weakness but also my strength; It's not enough for me to drive the car, but I need to know how to tune it. I must tell that for example, a video/lecture of 15 minutes meant to me usually 60 minutes of work, transcribing, doing the math, etc. That made my 6 months particularly long..
von Masayuki O•
Feb 18, 2018
Very fun. I'm proud of my achivement!
von Wei H•
Jun 10, 2018
Great lectures on the intuitions behind RNN and their applications in real life. It requires some self-exploration to complete the programming assignments related to Keras and tensor, but the structure of the assignment is very good. I have learned a lot from this lecture and it helped me to understand the language of the field of deep learning.
von Giuseppe N•
Jul 09, 2018
von Bonson S M•
Jun 25, 2018
Very tough... but has concepts that were very useful for me.
von XIANJUN Z•
Apr 10, 2018
Like the programming exercises!
von Jesus R Q•
Apr 14, 2018
This one is the best !
Jun 13, 2018
Great assignments! good hands-on coverage of basic python, high-level Keras and low level TensorFlow frameworks for Deep Learning.
von Tarry S•
Feb 02, 2018
Amazing source of information and teaching ability to tutor the learners.
Feb 08, 2018