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Comentários e feedback de alunos de Sequence Models da instituição

18,879 classificações
2,038 avaliações

Sobre o curso

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. 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....

Melhores avaliações


Mar 14, 2018

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!


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.

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351 — 375 de {totalReviews} Avaliações para o Sequence Models

por Ashish D S

Oct 24, 2018

Excellent Course! Bit tough compared to earlier courses, had to watch few videos almost thrice to understand the concepts. Superb course to complete specialization!

por Xiang Z

Feb 26, 2018

wonderful class! Really like the style Andrew teaches. The materials he prepared are very informative. The programming homework are especially helpful (and joyful)!

por Ged R

Feb 23, 2018

An excellent course which has enabled me to begin to app;ly these techniques in the area of language processing at work. Meets all objectives and ticks all boxes.

por Rajan K

Nov 13, 2018

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

Aug 02, 2018

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

Apr 24, 2018

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 João F

Sep 28, 2019

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

Dec 03, 2018

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!

por Lars R

Mar 30, 2018

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 Sarfaraz K

Feb 26, 2019

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

Aug 03, 2018

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

Jul 05, 2018

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

Mar 22, 2018

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

Mar 04, 2018

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 Gordon L W C

Aug 11, 2019

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

Aug 04, 2019

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!

por Aswin S T

Aug 06, 2019

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.

por Arnav C

May 14, 2019

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.

por Emilian A

Apr 16, 2018

I find CNN/RNN courses very helpful, but I would highly recommend to improve the exercises. Some typo mistakes can result in hours wondering what is wrong.

por Somashekharappa B H

Oct 15, 2019

As usual Mr.Andrew NG is great in explaining the concepts.I hope to make use of the skills learnt through this course and this one is coming in great way.

por mouette g

Aug 11, 2019

Very interesting course! It has taught me a lot. Special thanks to the Mentors and the Students who gave hints and explanations in the discussion forums.

por Daniel M M

Jan 10, 2019

Extremely clear and useful. Natural Language Processing, Speech Recognition and Automatic Translation are now concepts much more clearer and close for me.

por Laurent J

Feb 24, 2018

Slightly more difficult than the previous course but a fascinating course. Programming assignments require more thoughts but they are real world use cases

por Rajat M

Oct 20, 2019

Amazing Content !

Grateful to Andrew Ng and his Deeplearning.AI team for spending great amount of time and effort to come up with such a quality content !

por Michael O

Apr 30, 2019

Course content and lectures are excellent. Programming assignments have some minor glitches which should be addressed for a course that requires tuition.