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Voltar para modelos de sequência

Comentários e feedback de alunos de modelos de sequência da instituição

29,083 classificações

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.


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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501 — 525 de 3,488 Avaliações para o modelos de sequência

por Victoire T

3 de set de 2021

All great, very explicit and detailed. I just hope we can add more application exercices to the last week content so that we know better how to use Transformer Network. Thanks Andrew and all team members!

por David M

4 de ago de 2021

All specialization is the greatest starting point in Deep Learning in the world

I switched from software engineering to deep learning (my current working place)

Starting GANs specialization

Thank you so much

por Krzysztof N

28 de mar de 2020

I really enjoyed the course but not only me. My kids had lots of fun with trying the emojifier exercise. Thanks a lot for all 5 courses, which I found just perfect way to quickly get some taste of the AI.

por Michael F

15 de nov de 2018

The materials in this course were fantastic, and the problems were extremely interesting. There are still some typos and glitches in the programming assignments, but I'm sure these will disappear in time.

por pooya

7 de ago de 2022

these courses were so useful for me. but it has one problem. which is preprocessing. in all of the assignments, all of the data were ready to use. we have not learned to much about preprocessing on data.

por Frantisek H

4 de set de 2020

Excellent course - Andrew's teaching is what's so needed in the machine learning community. He explains concepts properly so that one truly understands them, and thus knows what to do when applying them.

por Chad B

10 de mar de 2018

Course content was great. Excellent content and pretty up-to-date material. The programming exercises had very cool examples, but sometimes it was unclear how to construct code (lots of web searching).

por Nobhomela

25 de ago de 2019

Very well structured course, most content does require self going over and full understanding as some concepts are not easy to grasp but nevertheless the explanations provided do help for the most part.

por Ruwan W

21 de mai de 2018

Well structured course with useful programming assignments. Provides an ungraded section with advanced materials to work on, which is good for those who want to implement DL algorithms from the scratch.

por h_st

1 de ago de 2021

I liked the profound and deep explanation of the underlying maths and the procedure of neuronal networks very much. Also to be able to programme a neuronal network on my own was really impressive.

por Jaskooner S

13 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.

por Gabriel A

15 de jul de 2021

the assignments were a really good format for someone who hasn't learned how to derive wrt multiple variables. It made sense to have the formulas provided to introduce a context for me: a developer.

por christianus f

15 de fev de 2020

One of the best thing from this class is not only we can understand the concept of RNN, LSTM, etc, but also I also get the idea about how these technique can be used in many daily life applications

por Mohamed S R I

16 de out de 2019

This is one of the most comprehensive yet enjoyable courses in the whole specialization! There are several assignments of practical applications. Thanks for the time and effort put into this course.

por Gyuho S

27 de abr de 2019

So many possibilities will be presented in front of you after this course. The only limit is the boundary of my imagination and creativity, that is how I feel now upon the completion of this course.

por Prateek G

26 de jan de 2019

This was a tough one. The specialization is well structured and slowly progresses in terms of complexity. Having worked on RNN, i thought I would ace the projects. Different story though at the end

por Arkar M A

4 de mar de 2018

Dr. Ng and team did a great job! Dr. Ng delivered even the most complicated concepts in the most lucid way possible. Assignments created by the team are awesome and very good to work on! 5/5 course!


23 de jul de 2020

Such a nice instructor and very good course material to understand the basics of Deep learning. I really enjoyed this course , Thanks for making such online course for us. Once again a big thanks.

por Selina N

31 de mar de 2020

It's an exciting course to learn about sequence models. The assignment illustrate the concept via step by step to understand how to implement how to implement the models and process the input data.

por Eleftherios M

13 de jun de 2019

A really joyful introduction in the Sequence Models, such as RNNs, LSTM etc. Sometimes the assignments got a little hard and with patience and help from forums, it gets achievable! Thanks again! :D

por Adit M

5 de jul de 2018

Excellent course! This course extensively covers all of the relevant areas of NLP with a strong practical element allowing you to applying Deep Learning for Sequence Models in real-world scenarios.

por 許天明

16 de mar de 2018

"Machine Learning" by Andrew Ng is my 2nd Coursera course in 2013, and "Sequence Models - Deep Learning Specialization" is my latest Coursera course in 2018. Both are really great and very helpful.

por Aadil

27 de mar de 2019

A great course created by Andrew Ng, with a proper proportion of theory along with practicals this course serves as a great beginning point for someone who is looking to enter in the field of NLP.

por Deepak N

28 de abr de 2018

You SAVED MY LIFE Thank you soooooooooo much!!, I am ready to give every thing I have just to thank you!!!!!!!!!!!! GOD BLESS YOU SOOOOO much ... keep contributing this world need people like you.