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

4.8
17,182 classificações
1,877 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

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.

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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101 — 125 de {totalReviews} Avaliações para o Sequence Models

por Kirk B

Jan 17, 2019

Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.

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 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 J. C B

Feb 17, 2019

Thanks very much. This course was really fun. I can't wait to try using these ideas outside of class!

por Andrei K

Feb 16, 2019

Thank you very much!

por Yingyu F

Feb 15, 2019

Great course on sequence models! I never hear do detailed course

por YanDing

Jan 22, 2019

very good

por Narender P

Feb 17, 2019

With real time exercises more encouraging///

por Bruno G C

Feb 05, 2019

awesome!

por Pavel K

Feb 05, 2019

This course offers a great introduction to the models: RNN, GRU and LSTM.

In addition, it illustrates the power of "Word Embedding" and "Attention Model".

The programming assignments are interesting, provide deeper understanding of the models, and show how simple it is to implement these models in Keras.

por Prasenjit P

Feb 06, 2019

Great!!!

por Akash G

Feb 06, 2019

hard to beat

por 朱荣鑫

Jan 25, 2019

Excellent as before.

por Zhaiyu C

Jan 26, 2019

A bit harder than previous courses. Pretty well organized as always.

por Prateek G

Jan 26, 2019

This was a tough one. The specialization is well structured and slowly progresses in terms of complexity. Having worked on RNN, i thought I would ace the projects. Different story though at the end

por Justin K

Jan 24, 2019

Fantastic course as always by Andrew Ng

por Carlos H B

Jan 26, 2019

Great course

por Shi Y

Feb 19, 2019

Programming Assignments are awesome! I learnt a lot from these notebooks.

por Dennis Y

Feb 20, 2019

Thanks Ng

por xuezhibo

Feb 20, 2019

The last course is a little bit more difficult than the previous! Although I majored in Civil Engineering and got my Master's degree in 2018, since I finished the Machine Learning class of Ng 2 months ago,I found this art is so charming and powerful ,so I continued to finish the CS229, That is also a wonderful course!! And today,this DL course was also completed, now I am attending the CS231N class~ Thank you Ng ,thank u cousera, because of you,I have a chance to attend those amazing course from the most famous university. Ng,thanks,you are doing a great thing,thank u!!

por Sharath G

Feb 22, 2019

Deep learning specialization is one of the best courses I've ever done. When I used to work on Computervision prior to this course, I used to stumble a lot conceptually and in implementation. This specialization gave me a pragmatic insight into the DL. Can't thank coursera, deeplearning.ai and instructors anymore. :)

por Fabian A R G

Feb 21, 2019

Well organized, concepts are explained clearly. Fun assignments. I felt this one was the toughest, but that made it more interesting.

por Santiago I C

Feb 21, 2019

Perfecto complemento al resto del cursos de la serie.

por Brian ( B

Feb 22, 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 Paul D

Feb 23, 2019

As someone who loves NLP, this course was great. Would recommend to others.