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Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

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18,972 classificações
2,052 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. 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....

Melhores avaliações

WK

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!

AM

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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301 — 325 de {totalReviews} Avaliações para o Sequence Models

por ABEL G G

Mar 07, 2018

The best specialization ever! thank you for all the dedicated people behind these courses and thanks Andrew Ng for explaining all the materials in the most enjoyable and easy way possible.

por Omar A

Jan 16, 2020

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.

por Md F S

May 08, 2019

This is one of the best course which has covered Sequence Model so well that everyone can understand it. Thanks to Deeplearning.ai for this amaing course and specially thanks to Andrew Ng.

por 罗成毅

Jul 06, 2018

thank you! I wonder if there have any platform or any web that i can continue learn more about machine learning? I want to read new papers or even discuss some idea about machine learning.

por Wonjin K

Mar 14, 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks a lot!

por Nurmukhamed

Feb 13, 2018

Great course. Thank you. I enlarged my knowledge in machine learning and took an inspiration make a research in deep learning, at least I started to read papers and try to generate ideas.

por Anurag C

Jan 13, 2020

Thank you very much for the experience and could you also develope a similar course for time series prediction on data other than speech or NLP like sensor generated data, weather, etc.

por Yi L

Aug 29, 2019

Really learned a lot from this course. This makes me feel closer to my dream! Thanks to Andrew and his crew! Thanks to the course!Thanks to Deep Learning technology! Thanks to Coursera!

por Tianqi T

Jul 14, 2019

the course itself was great, but Coursera did a very bad job providing the infrastructure for the last assignment. it took me a long time to hack the assignment and submit successfully.

por Luis F F

Jul 08, 2018

Love all the specialization courses. Concise, clear and entertaining theoretical explanations. And very well prepared and illustrative assigments.Thanks for your dedication and work....

por Himanshu B

Jul 19, 2018

This was just like a cherry on top of cake. This is highly recommended for the deep learning and machine learning enthusiasts. Content and quality of course material is beyond perfect.

por Dhritiman S

May 22, 2018

While this course was excellent, it is worth noting that the programming assignments were sometimes very very challenging and there was little to no guidance in the accompanying hints.

por Matthew A

Apr 08, 2018

Thank you so much for this course. It's beyond helpful. I'm very grateful for the path of discovery that it has provided and excited to continue developing my skills in the real world.

por AnnMargaret T

Mar 19, 2018

A wonderful conclusion to a thorough sequence! I enjoyed this specialization so much. Thank you to Andrew Ng, and Teaching Fellows, for putting this program together! Much appreciated!

por Steven Z

Feb 19, 2018

This was the most difficult course in the series, but also has the greatest application to the kinds of problems I am interested in. Thank you creating this course and series! - Steve

por Brandon W

Feb 17, 2018

This time around the programming exercises were a bit of guesswork. Would have been helpful to have more informative error messages. However, the course was very well taught as always.

por Constantine E

Jan 14, 2019

Excellent course!!!

The only feedback for improvement is that it took me much longer time to complete the homeworks than advertised. So probably the work estimates need to be refined.

por PRACHI G

Jul 25, 2018

Great course, great lectures and assignments. It would have been slightly better if the assignments required more input from students' side rather than providing most of the details.

por Zebin C

May 18, 2019

This course is hard to learn. It requires a lot of basic concepts about NLP and RNN. Fortunately, programming exercises have effectively deepened my understanding of these concepts.

por Alex Y

May 15, 2019

Excellent overview of recurrent neural networks and applications like NLP, speech recognition, and sentiment analysis! The assignments especially were comprehensive and fascinating!

por Abe K

May 11, 2019

This course is AWESOME!!! I learned so much and it was put together so well. This course allowed me to write an article on attention and better understand stacked LSTM RNN networks.

por 邱依强

Mar 10, 2018

I have the best time with you who designed the course and learnt together. When the professor said thank you, I was really moved and, not a words can express my appreciation to you!

por HEF

Jun 02, 2019

The most challenging one among all 5 courses of this specialization, but I also got the most fun from the videos and programming exercises. The discussion forums are quite helpful.

por Thejan W

Apr 04, 2018

A very well organized course. Assignments, lectures, almost everything is extremely organized and rich in content. This gave me a concrete theoretical knowledge on sequence models.

por Beda K

Apr 28, 2018

Great overview of sequence models. This was the course in the series that was most relevant to my topic of interest, so I was looking forward to it and enjoyed every moment of it.