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

4.8
estrelas
22,678 classificações
2,614 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

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!

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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476 — 500 de 2,591 Avaliações para o Sequence Models

por Ankita S

May 04, 2020

This course is so well organised and provides easy explainations for complex neural network models. Furthermore the assignments are really awsome and fun to do !

por João F

Sep 28, 2019

Excellent course and specialization. Very detailed explanations, active forums and great assignments. A big "Thank you!" to Professor Ng, the staff and Coursera!

por Thomas A

Dec 03, 2018

Kinda hard for me, because I am more involved into Structured Data and Image Processing Projects right now. But this course gave me lots of new ideas. Thank you!

por Ali

May 12, 2020

The most challenging one of the 5, projects were interesting. Andrew's approach is clear as always. Great place to start. Previous 4 courses are a prerequisite.

por Shantanu A

Feb 04, 2020

I loved the content of this course. It covers very relevant topics, the lectures are fun and easy to navigate through, and the assignments are very interesting.

por Lars R

Mar 30, 2018

Great video lessons though some of them repeated the same point to many times. Great test/questions sections. Very interesting, educational and fun assignments.

por Sarfaraz K

Feb 26, 2019

Awesome course, no other online course can match the depth and breadth of the content. State of the art information and super useful and practical assignments.

por Gilles A

Aug 03, 2018

Great, very usefull with both fundamental understanding of the sequence model, and great practical exercises unsing Keras both to fully understand and gain pra

por Jinkai W

Jul 05, 2018

Finally, finish the 5 courses, really appreciate Andrew's helpful instruction and the inspiring homework. These courses really help me get a big picture of DL.

por Ferenc F P

Mar 22, 2018

Very good introduction to RNN, GRU and LTSM neural networks with good practical examples. Recommended for those who want to understand how these networks work.

por Buddhika L S

Mar 04, 2018

This is a very practical course on using Deep sequence models such as RNNs, LSTM and GRU. Lots of real world application based assignments. Thank you Prof. Ng!

por Gordon L W C

Aug 11, 2019

The sequence model is very complete and teaches most of the important concepts using RNN. I think it is a very nice foundation for whoever wants to learn RNN.

por Liam A

Aug 04, 2019

Very difficult course, but perfectly complete-able if you studied Courses 1, 2 and 4. Would like to learn something like reinforcement learning in the future!

por Aaron R

Mar 31, 2020

Great course! Covers all the essential material. The discussion on attention is the simplest explanation I've come across but gets into all necessary detail.

por Aswin S T

Aug 06, 2019

This course extensively covers the aspects of NLP and its various use cases. It will be of an excellent start for me on my pursuit of research in this field.

por Thejus H R

Jul 03, 2020

Really enjoyed it, but it was definitely more complicated than any of the other 4 courses in the specialization! Andrew NG is a phenomenal teacher, love it!

por Ioannis P

Apr 28, 2020

Very good course. Would be nice to offer yearly or biyearly updates on the latest influential research targeted to graduates of deep learning specialization

por Bharat R J

Apr 04, 2020

nice videos on sequence modelling , LSTM , types of RNNs, GRUs , intuition on natural language processing and doing the assignments were really interesting.

por Mark

Jun 07, 2020

Fantastic specialization! Thank you Andrew and the other course contributors. I am inspired to go out and use my new Deep Learning super power for good :-)

por Badr S

Feb 20, 2020

As always, Andrew is absolutely amazing at transmitting advanced knowledge and making it accessible to most people. Thank you Andrew and the whole team !

por Arnav C

May 14, 2019

Loved this course. It was everything I expected and more. Always had a hard time understanding attention mechanism and Dr Andrew Ng explained it very well.

por Emilian A

Apr 16, 2018

I find CNN/RNN courses very helpful, but I would highly recommend to improve the exercises. Some typo mistakes can result in hours wondering what is wrong.

por Harshal R P

Jul 02, 2020

Excellent content and hands on assignments provides the best ever learning experience ever. I would like to thank all the content creators of this course.

por Prashant J

Apr 11, 2020

Its been great journey to complete this course and so many things I learned which will be helpful in many deep learning and machine learning applications.

por Somashekharappa B H

Oct 15, 2019

As usual Mr.Andrew NG is great in explaining the concepts.I hope to make use of the skills learnt through this course and this one is coming in great way.