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

4.8
estrelas
19,773 classificações
2,172 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.

SB

Feb 19, 2018

Loved the course - it was very interesting. It is also pretty complex, so will probably go through it again to review the concepts and how the models work. Thank you for this wonderful course series!

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451 — 475 de {totalReviews} Avaliações para o Sequence Models

por CHAKER O

Mar 12, 2019

thank you andrew ng you are the best teacher in all the world i'm very happy to study with you chaker from tunisia all my colleague love you

por Pui L H (

May 22, 2018

a very good course with lots practical assignments which helps me in developing AI with Recurrent Neural Networks and apply word2vecs model.

por Ratthachat C

Mar 18, 2018

Definitely one of the best courses in my life. I am truly grateful to Prof.Andrew and deeplearning.ai team for all your super great efforts.

por Tsang S H

Feb 25, 2018

The labs are well designed, and the course is well explained. Though the course has been waited for months, it is worth to take this course.

por Nikola M

Feb 21, 2018

great teacher and good content. Thanks for course. One of best courses I had. This course is to courses what Lord of the Rings is to movies.

por Harshit S

Feb 16, 2018

Very nice course if you want to apply natural language processing start through python.Very nice course to start your crazy projects in NLP.

por Rajat D

Feb 06, 2018

Thanks Andrew for making the concepts so intuitive, relevant to practical examples & fun!! This specialization was great learning experience

por Carlos S

Jan 27, 2019

Definitely worth it! A great way to end the series of courses in the specialization. Programming exercises are really well thought and fun!

por Jair G

Aug 15, 2018

The hardest of the five courses. Recurrent NN are super useful once you get a grasp of the idea. The attention model is a remarkable model.

por Fernando A G

Nov 04, 2019

Such a great end of the Specialization. Hope everyone has enjoyed it as I have, and Congratulations to everyone who has reached this point

por Manuel A

May 05, 2019

Very in-depth and practical course. Assignments are challenging and very funny. Some Keras background (or paralell learning) would be nice

por Dongrui J

Mar 30, 2019

Best course which help me to begin my career in ml & dl.

Thanks to Andrew Ng , a great teacher.

Thanks to all who contribute to this course.

por Kheng K M

May 04, 2018

Prof Andrew Ng has again shown his uncanny ability in breaking down a very complex subject into something easy for everyone to understand.

por Jonathan D

Feb 13, 2018

Loved the exercises and materials in Week 2. I plan to specialise in DL text summarisation. This course has been very useful to me. Thanks

por Akshat J

Oct 23, 2018

This course gives you a brief introduction to sequence to sequence learning, rnn, lstm etc and also speech recognition. Best course ever.

por Brian B

Feb 12, 2018

Excellent real-world examples with solid explanations of the algorithmic background. The lessons will be very easy to put into practice.

por Karthik C T

Feb 09, 2018

Wonderful course, This is the First time in my life, I waited three months for a course. That is the interest the God Father has created.

por Avineil J

Feb 09, 2018

Superb! The course content is brilliant, and while the assignments are geared towards NLP, they do a good job of explaining the concepts!

por Giacomo M

Jun 09, 2019

It has been a really interesting and tough course that has allowed me to gain practice with never, by me, seen data. Really suggested!

por Ivan S

Apr 26, 2018

This is a very useful, well-structured and interesting course. Programming assignments are very helpful and fun to do. Highly recommend!

por Soon C

Mar 05, 2018

The content is good. But in the programming assignment, why not stick to Tensorflow. Is there a reason opting for Keras over Tensorflow?

por Ercim C

Feb 22, 2018

Very well put together course with easy way to learn and use frameworks and getting under the hood of the latest technologies. Thank you

por Brian

Feb 01, 2020

The course is well structured. The graphs used to explain the principle of different algorithms (such as LSTM GRU Glove) are intuitive.

por 李子轩

Jan 21, 2020

感谢吴恩达老师带来的课程,这门课不仅仅使我对深度学习更加感兴趣.还让我想到了很多能够用其完成的一些事情. 课程虽然结束了, 但是有关于深度学习的学习才刚刚开始, 最后再次感谢吴恩达老师, 以及提供这个平台的coursera课程,让我在中国可以听到来自全世界的课程,谢谢!

por Kiran R

Aug 29, 2019

Great course on sequence models covering a lot of applications in translation, speech recognition, music synthesis. Highly recommended.