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Comentários e feedback de alunos de modelos de sequência da instituição deeplearning.ai

4.8
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28,102 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

JY

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.

AM

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.

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376 — 400 de 3,369 Avaliações para o modelos de sequência

por hervind

23 de mar de 2018

Well structured and easy to comprehend.

Mr Andrew Ng and team has organised the course in the best way.

Through this course I get new theory and programming experience for my self.

The exercise is fun like naming dinosaur

Thanks after all

por Mehul

27 de ago de 2019

Feels great to complete this wonderful journey. Once again thank you Andrew Sir for creating this type of novel courses, great to have you as an instructor. Hope I someday would build a great model of my own, and get a chance to meet you!

por Alex B

22 de mar de 2018

Very good, by necessity it's a little hand-holdey but otherwise it would take an unreasonable amount of time to cover the material. Hopefully I'll be able to leverage the background i gained in the specialization in future job experience.

por Anthony S

7 de fev de 2021

Excellent Overview of Deep Learning. I did a PhD in AI 30 years ago and this was a great introduction to the latest research. I highly recommend to beginners and old timers like me to get up to date on the latest research and techniques.

por Huy N

30 de jul de 2020

This course give me opportunities to dive in to RNN and other architectures relating to NLP. Although it is a little bit tougher than 4 previous courses (in this specialization), it provides several interesting applications in real life.

por Răzvan I

18 de jul de 2022

T​his is perhaps the toughest one so far. I still feel happy to see that NLP revolutionised deep learning. Things like attention and transformers were created for NLP tasks and now they play a major role in every branch of deep learning

por Khushal M

11 de abr de 2019

I think it is the best courses designed so far. Gives you exactly the appropriate amount of information needed to understand basics behind sequence models. A must do course for all the students who want to pursue a career in this field.

por Amanda W

21 de mar de 2019

Andrew Ng does an excellent job of explaining and teaching various sequence models in a format that any layman can understand. I really enjoyed this course and look forward to taking more corses with Mr. Ng and his staff in the future.

por 刘尧

17 de nov de 2018

Finally, I finished all the courses of the specialization within 4 weeks! Great courses, and I will recommend everyone I met who wants to learn ML and DL to go and see this series of courses. Thank Andrew Ng and course assistant as lot!

por Yong B S

30 de ago de 2020

This is my last course of deep learning specialization class. I've learned the hottest topics in AI fields. I am really appreciate the Prof. Ng for his wonderful teaching and excellent lectures and hard work. Thanks a lot to COURSERA.

por surya b

11 de jan de 2020

Excellent course. The instructor is able to teach difficult concepts in a very simple way which make them very easy to understand. Enjoyed the programming assignments. Looking forward to any course Andrew Ng might teach in the future.

por Martín C

7 de jun de 2020

¡Excelente curso! Llegar hasta acá haciendo la especialización vale el esfuerzo. Andrew Ng como siempre un gran maestro.

Excellent course! Getting here doing the specialization is worth the effort. Andrew Ng as always a great teacher.

por Christian D

23 de nov de 2020

the course is really well made, just enough theory and lots of practical labs. Although it does not go deep in the theoretical explanation, it develops intuition and triggers a curiosity to go further and continue to learn.

Bravo!

por Daniel G

16 de mar de 2018

My only constructive criticism is: more difficult homework, or more homework in general. The programming assignments seem very important for internalizing concepts, and this course covers a lot of material in a short period of time.

por 林越

20 de mai de 2022

A very efficient way to help me go through quite a difficult course with many linear algebra. Really thanks to the super power that you empowered me.

But why can't I find my certificate after finishing the courses with a 98% scores?

por S.KRISHNA K

17 de fev de 2021

It wasn't easy to finish. Comparatively 3 weeks only, but the content is hard. Compared to Computer Vision techniques, NLP techniques are harder to develop an intuition around. But a great learning experience. Interesting projects.

por Maria V

10 de jan de 2021

Every course with Andrew is worth it. He is great at explaining details and providing examples even for quite complex topics.

The most useful thing for me in Andrew's are programming assignments. I enjoyed them immensely, thank you!

por Jagruti P

27 de ago de 2020

A very good course on Sequence Models starting from the basics to designing a trigger word detection model. I will surely recommend the course if you are a deep learning enthusiast or you want to brush up your skills in this field.

por Aliaksandr S

22 de out de 2018

Excellent material; though VERY dense. Notebooks still have some issues, but forums are really helpful. I feel that first 3 courses were much better prepared; though CNNs/RNNs are still super-useful despite not being 100% polished.

por Junliang Z

17 de out de 2018

Really funny section about sequence model with interesting examples, helping me to understand how to learn the pattern of sequence data and transfer it to useful information. arouse my curiosity about other application in this area

por Sundar S

13 de set de 2018

Amazing set of courses. Learned a ton of information that I will directly use at my current work and beyond. And Andrew is a fantastic teacher that really engages with his students (despite this being an on-demand online course).

por Nitesh K

24 de set de 2020

I enjoyed this course thoroughly. Excellent platform to start Deep Learning. This course has touched almost every concept of deep learning. It has provided me the solid base now I am confident enough to take it to the next level.

por AKSHAY K C

21 de mar de 2020

The course was very well structured from the basics of RNN progressing slowly towards LSTM, GRU, word embedding and attention model finally. Kudos to the instructor and the team for providing such a good course on sequence models.

por Meer H A

2 de jun de 2019

Thank you Andrew! Learned great things from this deep learning specialization course. The knowledge and certification I gained will help long way, in shaping my career. Thanks once again to the creators of this wonderful course :)

por Carlos A C G

11 de jun de 2020

Amazing job once again by Andrew and his team. The world needs much more of this! Specially more implementations that can be put into use easily in real-life apps and projects. Now we know the theory, we can put it into practice.