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Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

4.8
estrelas
26,735 classificações
3,159 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

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.

WK
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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301 — 325 de 3,134 Avaliações para o Sequence Models

por Athul R

31 de Mai de 2018

This course is Very structured, concise and organised. I really enjoyed this course especially the Attention Mechanism in the Neural Machine Translation. Also the the trigger word assignment was both enjoyable and insightful. Thank you so much Andrew Ng

por Sandeep K M

30 de Mai de 2018

I was happy to learn about the Speech processing and more importantly when the system recognizes the "Activate" word. The way professor Andrew explains difficult topics is really appreciable. Thanks a ton for making the complex subject so easy to learn.

por ANGIRA S

31 de Mar de 2018

Having done the previous courses or not, this course will teach a whole lot about the past, present and future of NLP. At the end, as Prof. Andrew Ng has said, one can feel proud about how easily a topic can be explained with the help of just one slide.

por Shivam M

8 de Mai de 2020

This was the last course of specialization and it was a great journey. Thank you Sir Andrew NG for making such a wonderful course. Thank you coursera for giving us a great platform. Talking about course, it was a great course to learn NLP from scratch.

por Ravi P B

23 de Abr de 2020

Excellent course to get the nuts and bolts of sequence models and natural language processing using deep learning.As always instructors have been absolutely brilliant.Really really enjoyed the course.The course offers excellent programming assignments.

por Arash A

15 de Mar de 2020

Such an amazing course. Andrew is such a great instructor. Actually, it is thanks to the whole Specialization that I'm making now my own career as Chief AI Scientist for a Health Tech Start Up.

I'm endlessly grateful to Andrew and this Specialization!

por Ruthuparna K

31 de Ago de 2020

The best introduction to NLP and RNNs. Andrew Ng is simply remarkable and the assignments were interesting too. Highly recommend it for others. Felt a tad nostalgic as this was the final course of the specialization - Andrew Ng has that effect on you.

por Gokulakannan S

8 de Jul de 2020

It was a great experience!! I have completed my entire module of Deep Learning. I am now good to go with Deep Learning. Wish me luck!! Thanks a lot, Andrew Ng and team for creating this beautiful journey!! I hope you spread this knowledge everywhere.

por Yuwen W

2 de Mar de 2020

This course, as always, de-mystifies a quite complicated topic and gives very good intuition why the models work. For example, LSTM is very complicated unit but Andrew illustrates well what it tries to achieve. That said, this is a very tough course.

por Jeswin S R W

5 de Jul de 2020

This course is one of the best course we can take for deep learning.The quiz assignment was good.The programming assignment was easy to understand many functions which i find it difficult in videos.Overall the instructor Andrew Ng lecture was good

por Shahzad A K

14 de Abr de 2020

This course covers a lot of ground and provides many opportunities to practice the concepts. I just wish there were one or two (possibly optional/honors ) assignments with fewer walk through instructions so one could test one's learning for real.

por João M C d N

2 de Mai de 2019

This was very cool, RNNs seem very powerful. I don't think the programming exercises were the best to get some experience but I really like the way Andrew explains the algorithms. Still 5*

(They are totally using these reviews for text analysis :P)

por Rodrigo R C P

3 de Ago de 2020

This course is a nice introduction to neural networks applied to sequence models. It has interesting applications in natural language processing and speech recognition. It would have been nice to apply the concepts to time series prediction, too.

por Namburi S

27 de Mar de 2020

This is a pretty cool course to work on introduction of NLP. A blend of practical and theoritical aspects included though there are black boxes (I felt Convolutional Course to be more effective though, maybe because of my background, but still!!)

por RUDRA P D

20 de Jul de 2020

I don't know why this course has not been rated more than the other courses of this specialization. In my opinion, this is the best course among all the others. All thanks to Andrew Sir and Coursera team to introduce me to this specialization.

por Gautam K

8 de Jul de 2020

The course is very helpful in learning the important concepts of RNN in a very easy way. The instructor has a very unique style of teaching which makes the typical concepts easy and at the same the makes you develop your interest in the course.

por Farzeen H

14 de Set de 2019

Andrew Ng and the team have created a fantastic opportunity to learn the basics of Deep Learning Algorithms. "Hearing from Lion's mouth" was a great experience for me. I would strongly recommend any deep learning enthusiast to attend the course.

por Tulip T

22 de Ago de 2019

somewhere between 4 and 5 stars. It's a good course to make you understand about major knowledge to process sequence by DL, and the assignments are the hidden gems.

Some recent results are not included (of course), such as BERT. But it's till OK.

por Zifei S

13 de Fev de 2019

Great course teaching state-of-the art NLP technologies. I wish the attention notebook could be improved, and the projects could get more flexible and in-depth. I also wish there could be a Keras tutorial that gives an overview of the framework.

por Mariathea D

14 de Abr de 2018

Andrew Ng is a fantastic instructor. His ability to break down a complicated concept like neural networks and deep learning so that a non-math, non computer person like me actually understands the underlying mechanisms is quite extraordinary.

por Renato

29 de Mai de 2020

I think the course and specialization are special. It requires a lot of hours to finish it. It can be a great review of specific topics in the deep learning subject. Thank you for allowing us to reach those specific topics easily. Great content

por Anubhab G

17 de Abr de 2020

The course explains the fundamentals of RNNs, GRUs, and LSTMs in a very easy manner with plenty of illustrations and programming exercises. Although, some of the exercises are optional but doing those actually help reinforce essential concepts.

por Julien B

8 de Jul de 2018

Très intéressant. Les papiers scientifiques illustrés dans les travaux pratiques sont récents et cela fait plaisir de comprendre comment marchent ces réseaux de neurones de notre quotidien (traduction google, trigger word, style transfert, ...)

por Attila G

25 de Dez de 2019

State-of-the-art and in-depth content, inspiring and engaging lectures throughout the whole specialisation. I will be eternally grateful to all of you who created this (and the other) courses. Thank you, Coursera, thank you so much, Andrew Ng!

por Jingxiao Z

21 de Mai de 2019

Very useful for understanding what 'sequential' means in DL. I expected as some new solution to the time series scenarios but it turns out a different area from the quantative techniques. It might be helpful applied to more 'sequential' areas.