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!
von Lars R•
Great video lessons though some of them repeated the same point to many times. Great test/questions sections. Very interesting, educational and fun assignments.
von O K•
This was an excellent introduction to sequence models. It provided me with fundamentals (and more) on the subject. Will be keeping this course as my reference!
von Aravind R K•
Great way to finish off the DL specialization. Had a blast learning about time sequences and attention models. It was extremely fun to work on the assignments.
von Oleg S•
Extremely useful course. From base example to serious mechanisms like Attention. Thanks to all of the team for that specialization and especially to Andrew Ng.
von JOAN G V A•
Wonderful. Fun. Interesting. Relevant.
Only improvement: free extended versions of the notebooks, ungraded, with the long process to do the end-to-end projects.
von Sann S S Y•
This course is very affect to fill my knowledge during pandemic. I hope to get more knowledge by learning courses related with machine learning and AI on here.
von Sarfaraz K•
Awesome course, no other online course can match the depth and breadth of the content. State of the art information and super useful and practical assignments.
von Gilles A•
Great, very usefull with both fundamental understanding of the sequence model, and great practical exercises unsing Keras both to fully understand and gain pra
von Jinkai W•
Finally, finish the 5 courses, really appreciate Andrew's helpful instruction and the inspiring homework. These courses really help me get a big picture of DL.
von Ferenc F P•
Very good introduction to RNN, GRU and LTSM neural networks with good practical examples. Recommended for those who want to understand how these networks work.
von Buddhika L S•
This is a very practical course on using Deep sequence models such as RNNs, LSTM and GRU. Lots of real world application based assignments. Thank you Prof. Ng!
von Lambertus d G•
This one being the most challenging course of the specialization imo and required some digging. I guess its the icing on the cake if you manage to complete it
von Gordon L W C•
The sequence model is very complete and teaches most of the important concepts using RNN. I think it is a very nice foundation for whoever wants to learn RNN.
von Liam A•
Very difficult course, but perfectly complete-able if you studied Courses 1, 2 and 4. Would like to learn something like reinforcement learning in the future!
von metin s•
I think DLS_Courses are excellent. I liked all the courses. I am glad that I have completed the courses. Many thanks to Andrew_NG and his teammates.😊👏✔👍😊
Andrew Ng is a great teacher who could explain complex concepts clearly. And the teaching materials are well prepared. I enjoyed the course a lot. Thank you.
von Aaron R•
Great course! Covers all the essential material. The discussion on attention is the simplest explanation I've come across but gets into all necessary detail.
von Aswin S T•
This course extensively covers the aspects of NLP and its various use cases. It will be of an excellent start for me on my pursuit of research in this field.
von Thejus H R•
Really enjoyed it, but it was definitely more complicated than any of the other 4 courses in the specialization! Andrew NG is a phenomenal teacher, love it!
von Ioannis P•
Very good course. Would be nice to offer yearly or biyearly updates on the latest influential research targeted to graduates of deep learning specialization
von Bharat R J•
nice videos on sequence modelling , LSTM , types of RNNs, GRUs , intuition on natural language processing and doing the assignments were really interesting.
von Hao X•
I really enjoy and am expressed by how sequence models contribute to NLP, speech recognition, etc. I do think this inspires me to explore more in the field
Fantastic specialization! Thank you Andrew and the other course contributors. I am inspired to go out and use my new Deep Learning super power for good :-)
von Badr S•
As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !
von Arnav C•
Loved this course. It was everything I expected and more. Always had a hard time understanding attention mechanism and Dr Andrew Ng explained it very well.