Chevron Left
Voltar para Sequence Models

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

4.8
estrelas
19,017 classificações
2,055 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.

WK

Mar 14, 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!

Filtrar por:

426 — 450 de {totalReviews} Avaliações para o Sequence Models

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 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.

por Daniel G

Dec 11, 2018

Auch der Letzte Kurs war sehr gut! Diese Spezialisierung hat sich sehr gelohnt. Der Stoff wurde gut erklärt und war sehr gut anwendbar.

por Sanchit

Mar 09, 2018

Thanks Dr. Andrew NG and team for putting together a fabulous series of courses. I am grateful for motivating me to use DL in practice!

por Alexander Y B

Apr 21, 2019

Quiet deep course for understanding the RNN's and their implementations. Sad I haven't found time to pass this course few months ago=)

por Bence K

Mar 24, 2019

Awesome course, Andrew Ng is a master at explaining everything in a very clear and concise way. Makes hard concepts easy! Thank you :)

por Divyanshu G

May 10, 2018

A very good course which helps of understand basics of sequence modelling and its various applications in Natural Language Processing.

por Shailendra T

Mar 04, 2018

Very well laid out with good coverage and good insights about what types/sizes of neural networks are prevalent in commercial systems.

por CAI X

Feb 24, 2018

Another good course offered by Coursera and Prof Andrew Ng. I recommend this course to those who want to dive into the AI trend today.

por Daniela E

Feb 21, 2018

Another awesome course from Prof. Ng! Enjoyed every single piece of it, presentations, quizzes and especially exercises. Many thanks!

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.