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Comentários e feedback de alunos de Sequence Models da instituição

26,455 classificações
3,120 avaliações

Sobre o curso

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks 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. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our 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 gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Melhores avaliações

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.

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!

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2676 — 2700 de 3,091 Avaliações para o Sequence Models

por MD Q A

9 de Abr de 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

por M S S

13 de Mai de 2018

The Attention model still needs more explanation. I haven't completely grasped attention models

por Jon-pierre H

27 de Fev de 2018

More errors than most in the projects. Likely due to the rush of getting this final course out

por Lee H H J

13 de Jun de 2020

Very good course, informative and easy to follow. Only problem I had is with its auto grader.

por Nojus D

12 de Jul de 2020

Really good course but compared to others optional assigments lack instructions in this one.

por Alex F

7 de Abr de 2019

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

por Phuong-Khanh H

22 de Ago de 2018

The course is of high quality. However, it is not as good and clear as the previous courses.

por Wes H

15 de Abr de 2018

Content needs a few improvements in quality but otherwise a valuable and instructive course.

por harm l

19 de Fev de 2018

Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.

por Osvaldo R

1 de Jul de 2020

The practice was more guided than other courses. Felt that the Coursera team did all for me

por Cze H Y

16 de Ago de 2018

Perfect course except there are are some mistake/ambiguous instruction in course assignment

por Tshepiso

5 de Abr de 2020

Great course. Would like it if he kept his notation consistent with what is in the papers.

por Sven S

9 de Ago de 2019

a lot to learn, content is well presented as usual. one of the assignments requires rework

por 朱涧江

20 de Mar de 2018

Seem like not as good as before course,Wait so much time but is not clear as course before

por Sarang P

17 de Nov de 2020

Trigger word detection assignment notebook has some bugs. Had a hard time submitting it

por Glorian Y

30 de Out de 2019

There are many bugs in the assignment. Else, the material content and videos are great!

por Ryan B

19 de Mar de 2019

Really good but I guess you should teach more about how to apply all these models more.

por Zhe C

4 de Nov de 2018

Too many errors are in assignments. Also, Some APIs from Keras are not well explained.

por Ankoor B

21 de Fev de 2018

The assignment code instructions (specifically the code comments were very confusing).

por Moustafa S

22 de Jun de 2020

it was hard to catch up to all the new stuff, but as a first step, it's not that bad.

por Ming M

14 de Jan de 2019

I feel the programming assignments should be revised. I have encountered many errors.

por Hector M

19 de Fev de 2018

There were a couple of problems with the grader that made this course less enjoyable.

por Javier L P

17 de Abr de 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

por Keith l

12 de Set de 2018

some of the auto graders were a bit buggy, but overall loved the course and material

por bangdasun

19 de Fev de 2018

Nice content. Spend some time on homework since I'm not very familiar with keras.