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.
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.
por Juan M E B•
May 21, 2018
Excellent as always. This subjectcould easily take more weeks or even months to understand, but Andrew explains complicated concepts in very easy terms. Though sometimes it seems a bit esoteric and magical, due to how easy he makes it sound, it's a great start point to begin to investigate, read and implement the most important algorithms.
por Claes P•
Mar 08, 2018
This course challenged me. It forced me spend more time on the things you really need to understand before moving forward. Frustrating of course, but the reward is golden. It also tells me I need to learn more Keras. I was really inspired by the exercises, by all the things you actually can create by using the superpowers of deep learning.
por Alexandre C•
Feb 22, 2018
Excellent. I am doing a research on LTSM application for process plant data and asset health prognostics and the materials I found on the web were usually a bit "dry". The course enabled me understanding the concept mechanics and keras code basics to start using on my own applications - What else I could have asked for :D ?
por Siddharth B•
Jan 11, 2019
I am grateful to Professor Andrew Ng. and the entire team of deeplearning.ai for giving me the platform to learn, practice and showcase the deep learning concepts in such an elegant and concise manner. The journey has truly been educative and enlightening and I look forward to applying the concepts and skills in my further endeavors.
por Amit P•
Dec 31, 2018
Andrew's ability to make complex topics so easy to understand is amazing. His explanation of the 'intuition' behind complex stuff makes you really understand what is going on and why. Very happy with the course, it provided everything I needed to know to understand it in detail and implement it. Thanks Andrew for making this course.
por michael z•
Sep 29, 2019
An Amazing course which Imparts lots of knowledge.
The exercises of this course are very enjoyable and seem easy while providing really cool results, but in retrospect teach advanced material in such an engaging way that it only seems easy. The credit is with the incredible teachers of the course!
Thank you Andred Ng and all the TAs
por Vladimir L•
Jan 05, 2019
This is a great course, it gave me a good overview of how various types of data (written text, speech, images/video) are used in neural network models. The course materials smartly omit complexities behind pre-built deep learning models, and provide students with hands-on examples, which spark creativity and imagination. Thank you!
por RISHAV S•
Jan 02, 2019
The course is great and it builds on the last 4 course of deep learning specialization. It contains many nice topics of deep learning like RNN, NLP etc. There are some nice assignments also which you can relate with the real world. The whole Deep Learning specialization is great and every topic is nicely explained by Sir Andrew Ng.
por Parab N S•
Aug 25, 2019
Excellent Course on Sequence Models and training on how to use RNNs for practical applications. All the programming exercises were pretty fun and highly informative giving hands on experience on the use of a variety of sequence models. I would like to thank Professor Andre N.G. and his team for developing such a wonderful course.
por Satyam D•
Mar 27, 2019
Dear Prof Andrew Ng and deeplearning.ai team, Sequence Models is yet another excellent course where I have thoroughly enjoyed learning about new and powerful concepts of Deep Learning. The course content, quizzes and programming assignments are of the very highest quality. I am deeply grateful to the entire team. Thanks a lot!
por Rahuldeb D•
Sep 23, 2018
Really an awesome course. A bit difficult to grasp in three weeks. But, Prof. Andrew Ng has tried his best to make the content lucid. I am great full to all the faculty members for offering such an excellent course. I personally feel that if course can extended for another week then it will easier to understand the concepts.
por Nilanka W•
Feb 18, 2018
Awesome course. I did not know what it meant by Deeplearning at the start of the program, but now I'm confident on finding a way. Thanks prof Andrew NG and all the Instructors and team for organizing such a rich content. You probably have put a great effort. It was challenging but fully worth. And recommending to anyone !!
por Jonathan L•
Dec 18, 2018
Great lectures on the different structures of Sequence Models for use in Natural Language Processing, Text Translation, and Audio Recognition. There is a lot of material packed into 3 weeks, but this course will help anyone familiar with Deep Learning/CNNs to take a dive into the world of NLP and audio/speech recognition.
por Harold L M M•
Dec 10, 2018
This Sequence Models and RNNs course was a very challenging course in the specialization similar to that of Convolution Networks. I've learned a lot on these topics, and I will continue expanding my knowledge from here on.
Overall, this is a great and complete specialization on Deep Learning.
Thank you professor Andrew Ng.
por Himanshu S•
Jun 07, 2019
The topics covered in this course were a bit on the advanced side. The technologies used are most frequently used in the area of NLP. The course helps understand the basic concepts of NLP like word vectors and embedding, at the same time explains the very complex concepts like LSTM, GRUs and Attention models very well.
por Uday K B•
Dec 13, 2019
This course is perfect to learn deep insights of natural language processing, word2vec, speech recognition, trigger word detection and sentiment analysis among others. This course not only trains in using open-source libraries, but also trains to learn how to implement these life-changing techniques all by ourselves.
por Sharath G•
Feb 22, 2019
Deep learning specialization is one of the best courses I've ever done. When I used to work on Computervision prior to this course, I used to stumble a lot conceptually and in implementation. This specialization gave me a pragmatic insight into the DL. Can't thank coursera, deeplearning.ai and instructors anymore. :)
por Anne G•
Sep 13, 2019
I have thoroughly enjoyed the course from start to end! Each course is well organized, the teacher taught really well, and the programming assignments are very rich with easy to follow guidance, and lots of good libraries / functions that we can leverage / learn from. Thank you very much! Have a wonderful day!
por jaylen w•
Nov 08, 2018
Finally I finished the whole series of Deep Learning AI, through which I gained a lot of intuition of deep learning algorithms and its implementation. It's great course to get into this new era especially with a excellent teacher like Andrew who really illustrates the core ideas of deep learning algorithms to me.
por Pavel K•
Mar 31, 2018
The last module is awesome as all previous ones. Thank you all guys!
Thank you guys who posted questions, thank you guys who posted answers as well. I appreciate you all. And one more special appreciation to Andrew Ng for this entire course. This course gave me a great knowledge and intuition about Deep Learning.
por Sardhendu M•
Feb 10, 2018
Lots and Lots of knowledge and experience in 3-weeks of class. In Machine Learning terms, this course maximizes the knowledge and experience gained with sequence models by minimizing the time required to complete the course. Lecture videos are very intuitive while assignment projects are very real-world centric.
por Matei I•
Mar 31, 2019
Really good choice of topics, including state of the art tools like attention and word embeddings. Very useful, especially for those interested in Language Processing applications. However, the videos and assignments need some more careful editing, because there are occasional mistakes, lazy explanations etc.
Sep 02, 2018
Great course, though not as awesome as other Ng's courses. I think creators became a bit tired closer to the last course in specialization. Anyway, fantastic courses, fantastic specialization, fantastic professor! Thank you very much!! Looking forward to new courses - maybe Reinforcement Learning, GANs? =)
por Shabie I•
Feb 18, 2018
Leave it up to Mr. Andrew Ng to explain complex concepts in a very much intuitive manner. The guy is a world apart when it comes to explaining complex concepts. No other MOOC even comes close. Absolutely highly recommended.
The only negative part about this course is that it ends. You don't want it to end.
por Pavel K•
Feb 05, 2019
This course offers a great introduction to the models: RNN, GRU and LSTM.
In addition, it illustrates the power of "Word Embedding" and "Attention Model".
The programming assignments are interesting, provide deeper understanding of the models, and show how simple it is to implement these models in Keras.