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

4.8
17,695 classificações
1,926 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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176 — 200 de {totalReviews} Avaliações para o Sequence Models

por Adrian N K

Feb 14, 2019

It was an unbelievable journey through this Deep Learning Specialization! I really felt the power of the tools I obtained during the past 3 weeks that it took me to pass all 5 courses of the specialization. Many of the Programming Assignments are demanding and in the end I could be extremely satisfied that I succeeded in taking them all. Thanks a lot to Andrew Ng and all involved for making this sequence of courses accessible to people like me, and presenting it in such an understandable and interesting way! Now, I can start thinking of the vast potential for using Deep Neural Networks not only in Research and Space Sciences, where my interests are, but also in my daily life. Very many thanks again! AJ

por Youssef A S T

Feb 13, 2019

THANK YOU <3

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 Andrei K

Feb 16, 2019

Thank you very much!

por Narender P

Feb 17, 2019

With real time exercises more encouraging///

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 Aleko k

Feb 07, 2019

This course was the biggest experience for me. Excellent

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 Paul D

Feb 23, 2019

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

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 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 Wadigzon D

Feb 24, 2019

excellent, I did some speech recognition & neural nets in the past, I am surprised at how much the field has evolved, this was a great refreshener

por Fernaldy A F

Feb 24, 2019

Great course.. Thank you for providing it

por Alexander G

Feb 25, 2019

Out of 5 courses offered I think this was the most exciting one as it combines everything learnt so far and teaches how to combine different NN modeling techniques to achieve desired classification/prediction features . For example, it is pretty much clear how one would go about building an app that would describe a picture to blind people and do that in many languages.

por Sam D

Feb 25, 2019

Awesome course and specialization. Now, to implement everything I learned in my own programs, and of course I will be sure to revisit the videos until everything becomes second nature. Learn, program, improve and repeat. Thanks!

por Yan-Jen H

Feb 25, 2019

Nice course :)

por HARENDRA S

Feb 25, 2019

Very good course.

por Elad A

Feb 24, 2019

Thanks for this wonderful course specialization! I enjoyed it very much and learned a lot!

por Hristo B

Feb 25, 2019

Most notably, an exercise guides one through the building of a recurrent network from scratch. More exercises show the value of different architectures and make the learner proficient in using neural network libraries (Keras).

por Zoheb A

Feb 26, 2019

Assignments of this course are best.

por Phongvasu S

Feb 27, 2019

Such a great specialization as a whole. Recommend for anyone.

por Utkarsh G

Feb 27, 2019

The course is good but I like the other courses of the specialization a little more.