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

4.8
estrelas
26,126 classificações
3,080 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

JY
29 de Out de 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.

WK
13 de Mar de 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!

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301 — 325 de 3,051 Avaliações para o Sequence Models

por Jeswin S R W

5 de Jul de 2020

This course is one of the best course we can take for deep learning.The quiz assignment was good.The programming assignment was easy to understand many functions which i find it difficult in videos.Overall the instructor Andrew Ng lecture was good

por Shahzad A K

14 de Abr de 2020

This course covers a lot of ground and provides many opportunities to practice the concepts. I just wish there were one or two (possibly optional/honors ) assignments with fewer walk through instructions so one could test one's learning for real.

por João M C d N

2 de Mai de 2019

This was very cool, RNNs seem very powerful. I don't think the programming exercises were the best to get some experience but I really like the way Andrew explains the algorithms. Still 5*

(They are totally using these reviews for text analysis :P)

por Rodrigo R C P

3 de Ago de 2020

This course is a nice introduction to neural networks applied to sequence models. It has interesting applications in natural language processing and speech recognition. It would have been nice to apply the concepts to time series prediction, too.

por NAMBURI G S S S

27 de Mar de 2020

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!!)

por RUDRA P D

20 de Jul de 2020

I don't know why this course has not been rated more than the other courses of this specialization. In my opinion, this is the best course among all the others. All thanks to Andrew Sir and Coursera team to introduce me to this specialization.

por Gautam K

8 de Jul de 2020

The course is very helpful in learning the important concepts of RNN in a very easy way. The instructor has a very unique style of teaching which makes the typical concepts easy and at the same the makes you develop your interest in the course.

por Farzeen H

14 de Set de 2019

Andrew Ng and the team have created a fantastic opportunity to learn the basics of Deep Learning Algorithms. "Hearing from Lion's mouth" was a great experience for me. I would strongly recommend any deep learning enthusiast to attend the course.

por Tulip T

22 de Ago de 2019

somewhere between 4 and 5 stars. It's a good course to make you understand about major knowledge to process sequence by DL, and the assignments are the hidden gems.

Some recent results are not included (of course), such as BERT. But it's till OK.

por Zifei S

13 de Fev de 2019

Great course teaching state-of-the art NLP technologies. I wish the attention notebook could be improved, and the projects could get more flexible and in-depth. I also wish there could be a Keras tutorial that gives an overview of the framework.

por Mariathea D

14 de Abr de 2018

Andrew Ng is a fantastic instructor. His ability to break down a complicated concept like neural networks and deep learning so that a non-math, non computer person like me actually understands the underlying mechanisms is quite extraordinary.

por Renato

29 de Mai de 2020

I think the course and specialization are special. It requires a lot of hours to finish it. It can be a great review of specific topics in the deep learning subject. Thank you for allowing us to reach those specific topics easily. Great content

por Anubhab G

17 de Abr de 2020

The course explains the fundamentals of RNNs, GRUs, and LSTMs in a very easy manner with plenty of illustrations and programming exercises. Although, some of the exercises are optional but doing those actually help reinforce essential concepts.

por Julien B

8 de Jul de 2018

Très intéressant. Les papiers scientifiques illustrés dans les travaux pratiques sont récents et cela fait plaisir de comprendre comment marchent ces réseaux de neurones de notre quotidien (traduction google, trigger word, style transfert, ...)

por Attila G

25 de Dez de 2019

State-of-the-art and in-depth content, inspiring and engaging lectures throughout the whole specialisation. I will be eternally grateful to all of you who created this (and the other) courses. Thank you, Coursera, thank you so much, Andrew Ng!

por Jingxiao Z

21 de Mai de 2019

Very useful for understanding what 'sequential' means in DL. I expected as some new solution to the time series scenarios but it turns out a different area from the quantative techniques. It might be helpful applied to more 'sequential' areas.

por Zynab S

21 de Mar de 2019

Yes, I have just finished the whole specialization. I'm very proud of myself. And I recommend this specialization to anyone who wants to start with this field. Andrew is the best one I've seen who able to explain the thing in deeper way. Thanx

por Shithi M

14 de Nov de 2018

A wonderful, intellectual experience!

Don't fret if you are having to look up a few documentations, the comprehensive documentations of the built-in functions/layers needed are accessible on the official websites of the libraries(Keras, NumPy).

por superfantastic

3 de Abr de 2018

"I think that every person whether you come from a wealthy family, or a low income family, or anywhere in between. I think everyone should have great opportunities. " (socioeconomic status)

I was shocked by this speech. Thanks to Prof. andrew

por RAKSHIT G L

25 de Abr de 2020

The course was brilliant! Even though, the programming assignments could be better (personal opinion). The teaching itself is brilliant, and I think Andrew NG is by far one of the best Deep Learning teachers for anyone looking to get started.

por Shashank J

1 de Dez de 2019

very nice course but bit comprehensive especially Sequence models.

Expecting a same comprehensive course in Python development also so we can not write just a piece of code but entire code.

Also expecting a course on Keras , and end to end one.

por Brian ( B

21 de Fev de 2019

More lectures are needed in the sequence models to make these models or ideas clear to deep learning learners. I found this course is the most difficult one to follow in this series even if I got quite a lot experience on time series topics.

por Sabyasachi P

27 de Fev de 2018

It was a great learning experience. Thanks Andrew Ng for the wonderful content. However, there are still some mistakes in the programming assignment such as in the expected output of 3rd assignment. Kindly correct it. Overall very satisfying!

por Bao L H

18 de Abr de 2020

It's an amazing course, the video lectures are fruitful and the contents of the courses are well designed, the instructor is talented and his explanations are extremely helpful, it's one of the best courses taught on keras!

Thank you so much!

por Emmanuel T

21 de Nov de 2019

Great course! I feel some great accomplishment having finished this specialization I began 2 months ago. This one course could use a bit more of Keras hints or optional Keras course for those who do not have a regular use of the framework.