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

4.8
17,747 classificações
1,929 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

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.

JY

Oct 30, 2018

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.

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

por Khalid H

Feb 21, 2018

Will be looking toward advanced specialisation!

por Manaranjan p

Mar 21, 2018

Excellent Course...

por Shuo Y

Apr 09, 2018

great course!!! Thanks a million to Andrew and his team.

por Manas K M

May 13, 2018

great course.

por VL

Feb 09, 2018

NLP and speech recognition intition with real world coding examples. What is not to link?

por justin g

Apr 23, 2018

Course material was well presented

por Khawar A A

Jun 19, 2018

Awesome... !! Superb

por Sardhendu M

Feb 10, 2018

Lots and Lots of knowledge and experience in 3-weeks of class. In Machine Learning terms, this course maximizes the knowledge and experience gained with sequence models by minimizing the time required to complete the course. Lecture videos are very intuitive while assignment projects are very real-world centric.

por Adir K

Apr 07, 2018

A great course!

por Liyan X

Jun 03, 2018

Great course with interesting exercises. One can really see the amount of effort being put into creating the assignment material, so they are at a suitable level and with a lot to take away, and the students have a good understanding of details through practice. Really appreciated.

por Xin H

Feb 27, 2018

Detailed feedbacks on the practicals will be preferable.

por Deleted A

Mar 31, 2018

Great course with fun and relevant programming assignments.

por Jimmy I

Apr 30, 2018

Impressive amount of work to prepare the course material. I enjoy the learning immensely. It saves me a lot of time from reading white papers.

por Stewart A

Feb 21, 2018

Great teacher, great content, great course ..... More please!

por Amalan T

Jun 04, 2018

It was a great platform for me learn and implement deep learning concepts. It was fun and the learning experience was great.

por tommy s

Mar 16, 2018

"Machine Learning" by Andrew Ng is my 2nd Coursera course in 2013, and "Sequence Models - Deep Learning Specialization" is my latest Coursera course in 2018. Both are really great and very helpful.

por Sikang B

Apr 01, 2018

Though there are some minor lost clarifications in the flow, the general learning experience of this course is overwhelmingly practical and relevant to many real world scenarios. Personally felt this course completed the knowledge graph (of course I only have a preliminary understanding of everything) and opens many doors for future learning.

One nit-pick is Keras documentation can be annoying confusing and misleading at times. Would suggest to revise programming assignment instructions based on some popular threads in Forum discussions.

por Shantaram G

Apr 17, 2018

very informative

por Carlos V

Feb 15, 2018

Another Excellent Course from Professor Andrew Ng. The detail in the explanations are excellent, and the provided exercises using Jupyter are super fun to complete and put to the test your knowledge offering you at the same time a library of ideas and models to use in your future projects. I enjoyed this last course in the specialization quite a lot, thanks very much to Andrew Ng and the Staff from Coursera. I hope to see more courses like this in the future.

Thanks

por yaron n

Mar 10, 2018

As usual - Andrew NG is great!

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 Sunil

Mar 30, 2018

Awesome material for Sequence models

por tianfeng

Apr 23, 2018

thank u for helping me understanding RNN/LSTM finally

por kumaresan m

Mar 08, 2018

Awesome Course

por Jun W

Feb 14, 2018

Thank you, Andrew. Like those legendary masters, you taught us not only the super power but also the ethics of using it. Thank you!