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Comentários e feedback de alunos de Sequence Models da instituição

27,125 classificações
3,230 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.

12 de Jul de 2020

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

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2776 — 2800 de 3,225 Avaliações para o Sequence Models

por Andres F O J

29 de Ago de 2020

The assignments should be after each topic or lecture because in the end is difficult to enhance the knowledge.

por Claus E

29 de Abr de 2020

Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.

por Adam

11 de Abr de 2020

Only complaint is that the exercises are too easy when all answers are practically given in the hints section.

por Jan Z

23 de Fev de 2018

Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!

por Abdoulaye D

14 de Jun de 2020

Super excited to finish this course. I've tone of questions not answered in forums I'm still waiting answers.

por Paulami D

12 de Mar de 2018

This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive

por S A

2 de Jul de 2018

The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.

por Aleksandar B

20 de Mai de 2018

A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange

por Kiran S

4 de Fev de 2019

Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

por Brandon C

11 de Dez de 2018

Keras exercises tough to get through based on provided information, but the content was superb as always

por Paul H C

19 de Nov de 2018

Really good course. Exercises are not always connected to the core of the deep learning problem though..

por Sharon M

19 de Set de 2019

The course is great , in the assignments it is better to stick to single package and TF is preferable.

por Jorge L G

29 de Jan de 2019

Highly recommended course to understand the concept of speech recognition models, very real use cases.

por Fabrizio B

4 de Jun de 2020

Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

por Zhiliang W

25 de Jan de 2019

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

por Yixuan Z

24 de Ago de 2020

Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture

por Zhao C

19 de Abr de 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

por Amiya M

21 de Out de 2018

learned a lot but I wish their should be some sort of referencing material for further exploration

por Alex R

25 de Fev de 2019

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

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!