Andrew Ng
This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: – Understand how to build and train Recurrent Neural Networks (RNNs), and commonly–used variants such as GRUs and LSTMs. – Be able to apply sequence models to natural language problems, including text synthesis. – Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting–edge, industry–relevant content. deeplearning.ai is Andrew Ng’s new venture which amongst others, strives for providing comprehensive AI education beyond borders.
Instructor Details
Courses : 4
Specification: Sequence Models
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96 reviews for Sequence Models
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 18 hours |
| Year | 2018 |
| Level | Intermediate |
| Language | Chinese(Simplified) ... |
| Certificate | Yes |
| Quizzes | Yes |
Gabriel A S Z –
i want to be a researcher in deep learning because this specialization. Thank you very much for this opportunity
Olivier B –
Excellent.
Ranjeet R R –
nice experience
Omar A –
This Course was a nice introduction to Sequence To Sequence Models, where we learned about applications involving speech recognition, machine translation, & captioning of images or videos.
Igor V L d N –
Curso muito bom! Ajuda bastante a ter uma base em modelos de sequencia.
Pascal P Z Z –
Although I really really really love this series and although I always gave 5 stars, I think the quality of this last module is a lot less better than the previous ones. I think convolution was way more difficult but the explanation was awesome. Unfortunately, i think explanations in this module are a little sloppy.
Adarsh K –
Awesome Course! Learned a lot. Would highly recommend this to anyone willing to learn NLP, Sequence Modelling, Word Embeddings, Machine Translation and related stuff. The course builds from fundamentals of NLP like RNNs then LSTMs/GRUs to Word Representations to Sequence to Sequence Modelling. At the end you’d learn so much that by just looking at a single slide of an overview of Trigger Word Detection you could make the entire DL model yourself. You’d be fluent with Keras after completing this course. I’d like to thank the Instructor, the Teaching Assistants and the mentors.
Anthony D –
Excellent! Gave me good understanding of LSTM / GRU.
Dao S S –
I feel the course is fundamental but also very pragmatic.
Karthikeyan T P –
Excellent course regarding Recurrent Neural Networks and Natural Language processing.
Kevin C –
High quality as the previous other courses in the series!
Maryam H –
Very great and aspiring course, I learned lots of concepts in this course. I think It would be better If there was a capstone project for the final course of deep learning specialization. It was very great but If I had the opportunity of implementing a project from zero to 100, It would be more than great…
MURALITHARAN S –
Nice Work Andrew NG
Tim W –
Thank professor Andrew No for the courses. Wish to have more courses from him.
ANDREW ( G –
A little bit less quality than the previous ones.
Ryan S –
Excellent classes!
Nikita S –
It is a really good course
Andreas B O –
As with all the 5 courses in the Deep Learning Specialization, the video lectures were amazing, thoughtfully designed (and separated) and gave an understandable overview of the content. As for the programming assignements, some lack a clear description of what is to do that mostly concerns single steps withing a sub task though. Tensorflow and Keras need a considerable amount of self study next to the lectures to truly understand what you are doing there.
1140325971 –
The course is a good course because the lecture Ng.W ,but the exercises is not easy for our beginers for such tools like kears.
Mandeep S G –
Great exercises but videos were slightly rushed. Overall a good course.
Camilo G –
With this course it’s possible to conclude that recurrent neural networks are the most powerful variant of neural networks. Used in a many places, this course expleains ingishtfully how they work, what’s the math behind them, and how different implementations function for different areas of research.
Shalitha P –
very knowledgeable and perfect way to finish the specialization
Krishanu B –
The best and the most well structured course in this topic. Extremely satisfied with it.
Amit R B –
Excellent course overall, but the programming assignments left me feeling a it unprepared considering the previous lectures.
madhumita.behera@gmail.com –
Wonderfully explained and well structured course work. The programming assignments really boost the confidence on subject matter
saikrishnavadali –
awesome course!
Hugo T M K –
The exercises were very entertaining and Andrew Yang is an excellent professor.
Gayatri G L –
Gained some experience and insights to train models have fun.TRAIN,TEST,REPEAT
Fabien P –
An excellent insight into applying Sequence Models and Deep Learning, very clear and detailed course.
Teng G –
The course is concise, and the selection of topics is very very good. The exercise is both helpful and very well organize.
Hariprasad K –
Thank you so much for the entire deep learning specialization. Thanks for generously sharing so many aspects about various topics, which will be otherwise difficult to come across.
Aditya V S –
This is the best course for DL.
Brian –
The course is well structured. The graphs used to explain the principle of different algorithms (such as LSTM GRU Glove) are intuitive.
Syed S –
A little too difficult to understand from scratch
Jairo J P H –
El curso es muy bueno, particularmente estoy muy agradecido con COURSERA, por darme la oportunidad de hacer los cinco cursos de la Especializacion en Deep Learning con ayuda economica y permitirme tener acceso a este tipo de capacitacion y certificacion. Muchas Gracias&! The course is very good, particularly I am very grateful to COURSERA, for giving me the opportunity to do the five courses of the Deep Learning Specialization with financial aid and allowing me to have access to this type of training and certification. Thank you very much!
Benjamin C –
Good course!!
Saipuneet M –
Videos were really informative and were equally interesting, but I believe that the programming assignments lacked a bit in clarity. The instructions were really unclear, it could have been better
Daniel A G E –
Excellente course. I just want a write content, please, like the Machine Learning course
BAI Y –
This course is harder than course 1, 2 & 4. Especially for the assignments of week 1, I spent far more than 4 hours to complete. It is better to provide more contents on Speech Recognition.
Ritesh R A –
Course should have have more descriptive
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.
Swapnil –
This Is very helpful course in order to learn Recurrent Neural Networks. The first 2 weeks were amazing but the third week was a bit less interesting. This whole series of Deep Learning Specialisation is really good.
Gamage O I –
Simply the best. Programming assignments are fun and challenging.Would you please add more ungraded assignments?
Shengyu H –
Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)
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.
Abhishek s –
IN depth knowledge gained .good learning
Yu H K –
very challenging and interesting
Christianus F H –
One of the best thing from this class is not only we can understand the concept of RNN, LSTM, etc, but also I also get the idea about how these technique can be used in many daily life applications
ABHINAV G –
Thanks for making this course! I have been through all the courses in this specialization, and they are really excellent! Andrew has a great way of explaining things simply. It was easier for me to look at a couple of research papers after having gone through the lectures.
yesid a c m –
Es buen, algo extenso, pero suficiente para avanzar. Algo importante es actualizar los cursos con los nuevos algoritmos, al menos uno, por ejemplo BERT.
Glukhov E –
The programming tasks were very simple. I doubt that you can really learn anything when you just need to copy the text from the task description and paste it. The content of the tasks was excellent, but the level of personal involvement was minimal. In addition, the information in the course is already outdated.
Hele –
Things about how to train model is too brief in the last course. Hoping the content of this course can be much richer
Sreenivas N M –
Most fun and toughest course of the lot. Text data is always more complex, hard to analyse and model in comparison to image data.
J. F. R –
Great course by Prof Ng. I had taken his Machine Learning course a few years ago, so expected high standards of content and assignment preparation I was not disappointed. Staff is very responsive and helpful in forums as well. I highly recommend it. Taken as part of the DeepLearning specialization.
yotsawan c –
highly recommended
Jean –
too much information for such a short course. We only get a very superficial understanding of concepts with very little practice to solidify our understanding. The assignments involve implementing very small parts of much bigger systems. I guess the course is ok to get a general idea of the concepts but for deeper understanding of the topics a longer course or multiple courses would be needed.
Rooholla K –
Thank you Andrew for being such a good and kind person. You’ve been a shelter and a kind teacher for all of us. Thank you, Thank you and, Thank you.
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 !
ranveer s –
Excellent Course
Romain G –
Great introduction to sequence models, with very interesting case studies.
Mohammed Y M –
Mr. Andrew is the best of the best.
Manuel S G –
Excellent Module. Very well explained
Angam P –
Great introduction to sequence models. While the actual concepts are hard to grasp, programming exercises has given a very good understanding of the application of these models.
Hector A –
Just one observation, the general view I have from this course is very positive but compared to the other courses the program exercises in this course are more difficult to understand.
Luke R –
Great course touching on all important aspects in an approachable way and with fun and educational exercises. Highly recommended.
arnno b –
I would advise giving more tutorials about TensorFlow and Keras. Those are your main tools and eventually, in many cases we were only required to complete the gaps which don’t give you a true understanding of how to use those frameworks.
Siddhartha B –
Thank you so much to the coursera deeplearning.ai team. You guys rock!!
kripa s –
As usual one of the best..
Zixuan C –
Hard but good lectures
Aniket D S –
Excellent starting point for understanding sequence models.
Andres G –
Great course! It teaches the necessary to implement deep neural networks problems and give you practical advice. You can go deeper as you want in the material of this course, the programming assignments can be extended by going into the optional content.
Yuwen W –
This course, as always, de mystifies a quite complicated topic and gives very good intuition why the models work. For example, LSTM is very complicated unit but Andrew illustrates well what it tries to achieve. That said, this is a very tough course.
Prithvi J –
A greatly knowledgeable course! I learned a lot about Natural Language Processing and explored RNNs, LSTMs, Word Embeddings, Seq2Seq Models, Attention Mechanism, etc. The course focuses more on the concepts along with providing the essential math. It was fun to implement Language Models, Neural Machine Translation & Speech Recognition. I would surely recommend this course to the ones who are diving into the world of NLP, and need a perfect introduction to it.
Chun Huang L –
This course is really fantastic. It teaches several of the most important contemporary applications of deep learning, and mentions lots of important points of these models. The assignments are amazing. They are easy but still able to make sure you’ve gone through the whole design of models. Definitely one of the best lectures I had in my life.
amit k a –
Excellent !
Nithish K S –
This is a very good course for those that are looking foe a start in NLP. Highly recommended
Yashveer S –
Awesome Course
Manuel G R V –
Loved it but it felt quite rushed for the last week.
Ali K –
An appropriate course for getting started with Recurrent Neural Networks and its very applications in the domains of speech recognition, sentiment classification, neural machine translation etc
srinivas a –
Not practical, Assignments can drain your energy.
Neelesh A –
This course helped get a good intuition as well as further specifics of voice recognition which is what I am most curious about. I think they have put together a right mix of Conceptual puzzles, Implementable codes and Lucid lectures to help one learn and advance one’s understanding and intuition framework to build on top of subsequently. Great work guys!
MANOJ K –
Great course.
Veena S –
Andrew Ng rocks! Great course, enjoyed it a lot!
Luis d l O –
Very interesting course for those who do not know sequential models. As for the programming exercises, they are very easy to complete but help understanding how everything works.
Hernan R –
Excellent course!
Sajal C –
Great course for learning about how to deal with sequential data. I really enjoyed it. You can read the keras documentation for the programming exercises in case you are not familiar with it.
Kailash K P C –
Need more inputs for keras library.
NAMBURI G S S S –
This is a pretty cool course to work on introduction of NLP. A blend of practical and theoritical aspects included though there are black boxes (I felt Convolutional Course to be more effective though, maybe because of my background, but still!!)
Kevin R –
Overall the course was quite satisfactory and exhaustive learning. The explanation of professor Andrew Ng was very simple and understandable. I loved learning the course and completed it way before the due date.
Abhishek S –
I got started in NLP with this course. Thank you, Andrew!
Krzysztof N –
I really enjoyed the course but not only me. My kids had lots of fun with trying the emojifier exercise. Thanks a lot for all 5 courses, which I found just perfect way to quickly get some taste of the AI.
Mahmmoud M –
very grateful course thank for all team
keerthi k –
Excellent course. The best contents to learn RNN
Gershom K –
Very clear presentation, with lots of good intuition tips. Assignments are on the easy side.
luca p –
Fascinating topics, incredible applications!
Selina N –
It’s an exciting course to learn about sequence models. The assignment illustrate the concept via step by step to understand how to implement how to implement the models and process the input data.