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!
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.
por anand s•
Took a deep dive into the esoteric world of Deep Learning. What a brilliant course by Andrew Ng. He truly is a remarkable teacher. An immensely satisfying course.
por Rehan S•
Some assignment are difficult but interesting enough. I advice other when you stuck in your assignment or quiz again view the video clear your concept and retake.
por Rajan K•
Thank you for introducing RNN briefly. This is a vast topic but the course managed to give a good idea to enable one to begin on RNN modelling. Thank you Andrew!!
por Manh T D•
Thank you so much for putting all of the dedicated efforts in creating such an incredibly amazing and useful course for students like me! I really appreciated it!
por Julien L•
Good course. The programming exercices are harder than the other courses if you do not correctly understand Kerras logic.
Thank you for giving the type of courses
por José A C C•
Great module as all in the specialization, really. If I were to be picky, the programming exercise could be a bit more challenging by having less completed code.
por Manoj K T•
That's great journey to accomplish the Deep Learning Specialization course. I thanks all deeplearning.ai and Coursera teams who provided this wonderful platform.
por Anubhav B•
One of the best courses out there on Deep Learning. The ease and comforting pace is the best part, learnt a lot, will now try to implement the same from scracth.
por Ankita S•
This course is so well organised and provides easy explainations for complex neural network models. Furthermore the assignments are really awsome and fun to do !
por João F•
Excellent course and specialization. Very detailed explanations, active forums and great assignments. A big "Thank you!" to Professor Ng, the staff and Coursera!
por Thomas A•
Kinda hard for me, because I am more involved into Structured Data and Image Processing Projects right now. But this course gave me lots of new ideas. Thank you!
The most challenging one of the 5, projects were interesting. Andrew's approach is clear as always. Great place to start. Previous 4 courses are a prerequisite.
por Shantanu A•
I loved the content of this course. It covers very relevant topics, the lectures are fun and easy to navigate through, and the assignments are very interesting.
por 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.
por 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.
por 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.
por 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.
por 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.
por 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
por 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.
por 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.
por 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!
por 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
por 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.
por 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!