Chevron Left
Voltar para modelos de sequência

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

4.8
estrelas
28,154 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

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.

JS

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.

Filtrar por:

401 — 425 de 3,376 Avaliações para o modelos de sequência

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.

por ongole s s

27 de mai de 2020

I have learnt a lot from this course and it is very interesting to be part of this course as i understood the concepts of NLP in deep learning which is the most fascinating technology to learn and implement in real world problems

por Sergio B S

14 de set de 2018

The first week of this course is maybe the most harder week of all the Deep Learning Specialization. But, with Sequence Models I have understand infinite better the great possibilities of this techniques for improving the world.

por Brian D

21 de jul de 2021

Great course, programming assignments become more interesting in the later section of the specialization. Really get you thinking ! Had a lot of fun learning these skills through the entire 5 courses, would definitely recommend.

por Beltus N

19 de out de 2020

After finishing this course, I'm so fired up by the potential projects I can build with this knowledge that I feel adrenaline coursing through my veins. Thank you Prof. Andrew Ng. Thank you Deeplearning.ai team. You're the best.

por Shashti K N M

8 de jun de 2020

The Course was Excellent. Sir's teaching was Excellent. I understood the techniques of Sequence Models and Natural Language Processing. The Programming Assignments were Excellent. The Deep Learning Specialization was Excellent.

por George Z

29 de set de 2019

Amazing course and what a finish line. I only with the graded assignments are revisited as few of them have bugs in them. Also I hope the Word2Vec algorithm and word embedding in general is explained better and with exact steps.

por Sam D

24 de fev de 2019

Awesome course and specialization. Now, to implement everything I learned in my own programs, and of course I will be sure to revisit the videos until everything becomes second nature. Learn, program, improve and repeat. Thanks!

por Anurag D

24 de jun de 2021

This course is excellent to get a start of deeplearning.

I really emphasize this.

Dr. Ng is an awesome professor who can simplify abstract and complex concepts to a really linear knowledge flow i.e. removed activation layer hahha

por himanshu g

26 de abr de 2020

This was particularly intensive course of this whole series, learned a lot.

Thanks to Prof. Andrew NG, accept a Natmastak Pranam from this Student of yours, will always be indebted for what I have learned here. You are the Best

por Rahi A

8 de jan de 2020

I have many of books and blogs related to RNN, but was not clear and confident about it. And after studying only the first week video and lectures, I am so confident and happy that cant tell you!!! Thank you so much Andrew...;)

por Leonardo D

4 de dez de 2019

It seems like there are several and very useful RNN models. Many of them are very good at specific tasks, and if you take this course you will be abe to understand and implement many of them. It was a really amazing experience.

por Sandeep P

27 de jun de 2018

An excellent introduction to the theory and practice on recurrent deep neural networks. Great usage of all the 4 courses in this series to culminate with this course as a great finish to deep learning theory and implementation.

por Rafael E

10 de fev de 2018

Yet another amazing class! I'm so grateful for the existence of these classes. It makes mastering deep learning very much easier. My thanks to Andrew, and all others who have worked so hard to make this course possible! :-)

por Hristo B

25 de fev de 2019

Most notably, an exercise guides one through the building of a recurrent network from scratch. More exercises show the value of different architectures and make the learner proficient in using neural network libraries (Keras).

por Dima R

11 de ago de 2021

It felt like an actually great course to understand what is what in deep learning world. So after this course there're still plenty things to learn, but now you will now at least what exactly why and when you should focus on.

por Aparna D

30 de out de 2018

This was quite a tough one.. But it was almost magical when the outputs of the assignment were successfully completed. Excellent. The discussion forums helped a lot, as the instructions were not very clear to novices like me.

por Roman P

10 de jun de 2022

Great explanation of hard material, still wish there were more assignments, and they were more complicated and less guided, or start with simple assignment and increase the complexity and eliminate the guidance in next ones.

por Jeffrey T

2 de abr de 2020

Amazing course, Andrew Ng presents the material in a concise and intuitive manner. It would be nice to have access to all of the material needed to fool around with the assignments on our computers in an offline environment.

por Dmitry N

6 de out de 2019

Thank you for this wonderful sequence of courses! This whole concept is still a bit blurry for me, but as a lot of people during the interview have mentioned, one must simply exercise new skills to understand the technology.

por Gopi P V R

16 de mar de 2019

It's great course to get concepts right and overview. It will be great if you add further programming assignments(other than partially coded ones) or resources as such where one can practice what he had learned as optional.

por Nick S

30 de mar de 2018

Great choice of material, i would be happy to have one more week of that course to see more examples and have more time to familiarise with the concepts. All weeks were very useful and all the material was greatly explained.

por Yousif M

28 de dez de 2020

I enjoyed all the courses of the specialization but I was looking forward to Sequence Models the most. I think a lot has been covered in this course and I can't wait to try working on projects with the knowledge I now have.

por Severus

5 de jun de 2020

This course is good , I learn RNN,LSTM,GRU etc.Just one thing, the last assignment is hard to submit.I guess maybe there is a systematic problem that need to be solved. Everything except that is great. Thanks a lot, Andrew.