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Comentários e feedback de alunos de Sequence Models da instituição

25,406 classificações
2,989 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. 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

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.

29 de Out de 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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2901 — 2925 de 2,967 Avaliações para o Sequence Models

por Rajesh R

25 de Fev de 2018

GRUs are poorly explained. Unable to get past Week 1.

por Kenzi L

19 de Jul de 2020

a bit outdated due to lstm being not that s-o-a now

por karishma d

20 de Jun de 2019

very basic ..would have wanted much advance level .

por Saumya T

9 de Jun de 2019

Codes are not explained. Some codes files are given

por Sravan

19 de Abr de 2019

Works as a primer. Assignments aren't that great.

por Jerry Z T

18 de Ago de 2020

The learning embedding part is kindof confusing

por Abhishek S

14 de Jun de 2020

Great course but has been dumbed down too much

por Yue

26 de Abr de 2019

Esperaba que los ejemplos fueran de otra forma

por Jazz

10 de Out de 2019

Should add some instruction videos of Keras

por Shanger L

4 de Jun de 2018

does HW created/reviewed by different ones?

por Parikshit D

27 de Mai de 2018

The assignments are not very satisfactory..


5 de Abr de 2020

Not so well explained as the other courses

por Xueying L

22 de Jul de 2018

Too narrow focusing on applications in NLP

por Rahul T

9 de Ago de 2020

Programming exercises was very confusing.

por Ritesh R A

2 de Fev de 2020

Course should have have more descriptive

por Liang Y

9 de Fev de 2019

Too many errors in the assignments

por guzhenghong

17 de Nov de 2020

The mathematical part is little.

por julien r

25 de Mai de 2020

second week was hard to follow

por stdo

27 de Set de 2019

So many errors need to fix.

por ARUN M

6 de Fev de 2019

very tough for beginners

por Wynne E

14 de Mar de 2018

Keras is a ball-ache.

por Long Q

17 de Mar de 2019

too hard


26 de Jul de 2018


por Debayan C

23 de Ago de 2019

As a course i think this was way too fast and also way too assumptive. I wish the instructions were a bit slow and we broke down more into designing bilstms and how they work and more simple programming excercises. As a whole i think 1 full week of material is missing from this course which would concentrate on the basic RNN building for GRUs and LSTMs and then move on to applications. I usually do not review these courses and they are pretty standard but this course left me wanting and i will consult youtube and free repos to learn about it better. I did not gain confidence on my understanding. Barely scraped through the assignments after group study and consulting people who know this stuff (which defeats the purpose of this course i believe. It is to enable me with concrete understanding and ability to build these models . It shouldn't lead me to consult others and clear out doubts .)

por 象道

16 de Set de 2019

i really learned from this course some ideas on recurrent neural net, but the assignments of this course are not completely ready for learners and are full of mistakes which have existed for more than a year. those mistakes in the assignments mislead learners pretty much if they do not study some discussion threads of the forum. this course has the lowest quality among all of Dr. Andrew Ng's. before the updated versions, a learner had better have a look at the assignments discussion forum before starting the assignments.