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Comentários e feedback de alunos de Sequence Models da instituição

23,001 classificações
2,660 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


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.


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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451 — 475 de 2,643 Avaliações para o Sequence Models

por 林胜义

Feb 13, 2018

I learned how to use LSTM or GRU in NLP task. And I have learned many intuitions and skills of Sequence Models and its application in various NLP tasks and speech recognition.

por Awadhesh K M

Apr 12, 2020

It was fun and a wonderful experience to learn deep learning. Course content is well structured, and the way things are taught , kept me engaged all the time.

Thank You Andrew.

por Abhishek B

Oct 07, 2019

The course explanation is really nice. The topics are a bit advanced and hence need to be gone through multiple times. As always, Andrew and the team nail it with their work.

por Mushahid S

Sep 03, 2019

I have completed the full specialization. For sure this the best specialization if anyone wants to build his/her career on AI. Thanks to Coursera to be a part of our journey.

por Omid A A

Feb 18, 2018

I have not seen a better video tutorial for sequence models. I definitely recommend this course and specialization for those who would like to work with deep learning models.

por Sahan P

Dec 12, 2019

Great Course as Always. Talks about Few Major Sequence Modeling Algorithms to some deep extent. And the Practical assignments are Fun to do as well. Thank you, Dr Andrew NG.

por Yedhu K V P

Sep 22, 2018

I loved the course and the whole specialisation. I learnt a lot and I am going to apply all this knowledge to do some projects on my own. Thank you for designing the course.

por Gino D

Feb 23, 2018

Excellent instruction, yet again! Thank you for such a valuable course that is available to people who can't afford expensive instruction at a university. I am so grateful!!

por Х. А Р

Apr 03, 2020

That's the most complicated course in the Specialization. But the more complicated algorithms the more interesting tasks. Thanks for fascinating trip through Deep Learning!

por luis d

Dec 12, 2019

It is a very complete course I learned a lot about various network architectures to use in language model, speech recognition, music generation, etc. I highly recommend it.

por Man M S

Dec 02, 2018

This one was bit tougher then earlier 4 courses but a very good course. Course content is great for implementing NLP. Course step ups my existing level in Machine Learning.

por Andres S

Apr 21, 2018

This was the most fun course of the series. I particularly liked how you can use RNN for NLP. Great series of courses @ Thank you Dr. Andrew Ng and team.

por banafsheh

Jan 18, 2019

the first week is relevant to my work, but it was great learning a bit about other topics in week2 and week 3. Thank you so much for making these videos and assignments!

por Pablo V I

Mar 18, 2018

Excellent course in order to learn an introduction about Natural Language Processing and Speech Recognition. The programming assignments are fun and challenging. Thanks!

por Paras N

Jul 07, 2020

One of the harder to understand concepts that exist in deep learning. However, the intuition that Andrew gives you makes it so much easier to comprehend. Worthy course!

por Nitin G

Nov 30, 2019

Most of the concepts were new to me. Loved the way the simplicity with which Andrew Ng and his team delivered these concepts even though theoretically they looks tough.

por Nikolay M

Jun 15, 2020

This is a very interesting piece of science. Andrew is a great teacher. He always explains all the complex phenomena in a very simple and coceivable way. Thanks a lot!

por Kiwoong Y

Nov 27, 2018

As we proceeded with the lecture, we were able to gain a better understanding of the sequence model and further assist in envisioning entrepreneurial items. Thank you.

por Arun R

Jul 01, 2018

As usual, Prog. Ng has delivered a wonderful course with so many practical examples. The programming exercises were great too (though the online notebooks were flaky).

por Stephen G

May 09, 2019

Awesome class!!! Mr. Ng explained everything so well I really felt I got a good understanding and the programming exercises were just hard enough and plenty of hints.

por Michael K

Dec 06, 2018

Great course! Very informative, and delivered in a way that is easy to follow if you've taken the other courses in the specialization. Andrew has a gift for teaching.

por Mo R

Feb 17, 2019

Thank you coursera, Thank you Sir Andrew NG, I just finished the specialization, it seems extremely helpful, It's the most important specialization I have ever seen.

por Andrei V

Feb 15, 2019

A very good final for the Deep Learning Specialization. This course has made it very easy for me to understand new research papers that involve LSTM and RNN networks

por Jonathan M

Jun 21, 2020

Very practical. This entire sequence of courses does a great job of taking concepts to the next level and showing how to build practical deep learning applications.

por Jagan P

Apr 16, 2020

Very effective and intellectual teaching in combination with theory, practical exercises, Thanks to Andrew Ng for making such a deep learning specialization course.