Chevron Left
Voltar para modelos de sequência

Comentários e feedback de alunos de modelos de sequência da instituição

27,676 classificações
3,306 avaliações

Sobre o curso

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

Melhores avaliações


30 de jun de 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.


13 de mar de 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:

626 — 650 de 3,306 Avaliações para o modelos de sequência

por Thejus H R

3 de jul de 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

28 de abr de 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

4 de abr de 2020

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

por Hao X

26 de ago de 2020

I really enjoy and am expressed by how sequence models contribute to NLP, speech recognition, etc. I do think this inspires me to explore more in the field

por Mark

7 de jun de 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

20 de fev de 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

14 de mai de 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

16 de abr de 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

1 de jul de 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

11 de abr de 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 Somashekhar H

15 de out de 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.

por mouette g

11 de ago de 2019

Very interesting course! It has taught me a lot. Special thanks to the Mentors and the Students who gave hints and explanations in the discussion forums.

por Daniel M M

10 de jan de 2019

Extremely clear and useful. Natural Language Processing, Speech Recognition and Automatic Translation are now concepts much more clearer and close for me.

por Laurent J

24 de fev de 2018

Slightly more difficult than the previous course but a fascinating course. Programming assignments require more thoughts but they are real world use cases

por Agustin N

2 de nov de 2020

Great course about sequence models. I think that this is the most hard of the five courses, but at the end you get all about the architecture of the RNN.

por Aswath S

2 de mai de 2020

I was highly confused about sequence models before this course. This course is highly recommended. Thanks to the total and Coursera team.

por Rajat M

20 de out de 2019

Amazing Content !

Grateful to Andrew Ng and his Deeplearning.AI team for spending great amount of time and effort to come up with such a quality content !

por Mike O

29 de abr de 2019

Course content and lectures are excellent. Programming assignments have some minor glitches which should be addressed for a course that requires tuition.

por John E S

24 de dez de 2018

Great lectures. Well thought out quizzes and exercises. The only negative point is that the exercises are too easy, they spoon feed too much of the code.

por Janzaib M

24 de mai de 2018

Perfect Start for Understanding RNNs, LSTMs, BRNN, Attention and Basic NLP. It gets you up and running with very easy KERAS implementation of the things.

por Andrew S

14 de fev de 2018

The lectures are amazing. The assignments were difficult for me, but forced me to understand the concepts better. Really glad to have taken the course.

por Peter D

11 de fev de 2018

Excellent course that not only provides a good foundation for deep learning in general, but also gives some insights into more recent developments in AI.

por Leonardo P

20 de mar de 2021

That was a really cool course! Specially the last week, where we've implemented many ideas that I knew were possible but had no clue how to! Very nice!!

por Pat S

10 de jan de 2021

This course gives a great foundation to understand sequence models. Assignments help lay out how sequence models work and also interesting applications.

por Subrata S

17 de ago de 2019

Very much satisfied, to its content. Learnt a lot, thanks a ton to Prof. Andrew Ng for your hard work on its topics & how making learning easy.