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

4.8
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21,557 classificações
2,459 avaliações

Sobre o curso

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....

Melhores avaliações

WK

Mar 14, 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!

AM

Jul 01, 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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401 — 425 de {totalReviews} Avaliações para o Sequence Models

por Thejan W

Apr 04, 2018

A very well organized course. Assignments, lectures, almost everything is extremely organized and rich in content. This gave me a concrete theoretical knowledge on sequence models.

por Beda K

Apr 28, 2018

Great overview of sequence models. This was the course in the series that was most relevant to my topic of interest, so I was looking forward to it and enjoyed every moment of it.

por Luis d l O

Mar 26, 2020

Very interesting course for those who do not know sequential models. As for the programming exercises, they are very easy to complete but help understanding how everything works.

por Madhukesh S

Feb 26, 2018

All the courses are great, but this is the one I was interested in most. It didn't disappoint. The exercises were a bit challenging, but a lot of fun and relevant to the subject.

por Angam P

Feb 24, 2020

Great introduction to sequence models. While the actual concepts are hard to grasp, programming exercises has given a very good understanding of the application of these models.

por Kevin C

Dec 25, 2019

I am pleased about the in-depth explanation about RNNs, LSTMs, and GRUs, as well as the Attention mechanism. Those were the topics that I was looking for when taking this class.

por Manfred P

Nov 11, 2018

Awesome course. Andrew Ng is a very good teacher. I've also done the DL course on Udacity which was very unstructured and hard to follow.

The only thing I was missing were GANs.

por Suhrullekha M

Apr 05, 2020

Was fun with lessons, some assignments gave issues with necessity of additional care on being aware of the "grader", as some simple mistakes led to no grading, otherwise great!

por Mukund A

Mar 24, 2019

Incredible! Just Loved it. Loved the entire deep learning specialization by coursera. Programming Assignments in this course were challenging but rewarding. Thank You Coursera.

por Jorge

Aug 08, 2018

Great course with a lot of content about sequence models based on Recurrent Neural Networks. Although sometimes the topics are very complex, everything is explained very clear.

por Yanxuan W

Apr 23, 2018

Andrew is excellent teacher! During last three months, his not only taught me deep learning but brought me peace helping me go through a hard time. I am so appreciate for that.

por Jussi V

Feb 18, 2018

Simply excellent ending for the deep learning specialisation. This course 5 together with course 4 (CNNs) is really the core and the most important part of the 5-course series.

por 林胜义

Feb 13, 2018

I learned how to use LSTM or GRU in NLP task. And I have learned many intuitions and skills of Sequence Models and its application in various NLP tasks and speech recognition.

por Awadhesh K M

Apr 12, 2020

It was fun and a wonderful experience to learn deep learning. Course content is well structured, and the way things are taught , kept me engaged all the time.

Thank You Andrew.

por Abhishek B

Oct 07, 2019

The course explanation is really nice. The topics are a bit advanced and hence need to be gone through multiple times. As always, Andrew and the team nail it with their work.

por Mushahid S

Sep 03, 2019

I have completed the full specialization. For sure this the best specialization if anyone wants to build his/her career on AI. Thanks to Coursera to be a part of our journey.

por Omid A A

Feb 18, 2018

I have not seen a better video tutorial for sequence models. I definitely recommend this course and specialization for those who would like to work with deep learning models.

por Sahan P

Dec 12, 2019

Great Course as Always. Talks about Few Major Sequence Modeling Algorithms to some deep extent. And the Practical assignments are Fun to do as well. Thank you, Dr Andrew NG.

por Yedhu K V P

Sep 22, 2018

I loved the course and the whole specialisation. I learnt a lot and I am going to apply all this knowledge to do some projects on my own. Thank you for designing the course.

por Gino D

Feb 23, 2018

Excellent instruction, yet again! Thank you for such a valuable course that is available to people who can't afford expensive instruction at a university. I am so grateful!!

por Х. А Р

Apr 03, 2020

That's the most complicated course in the Specialization. But the more complicated algorithms the more interesting tasks. Thanks for fascinating trip through Deep Learning!

por luis d

Dec 12, 2019

It is a very complete course I learned a lot about various network architectures to use in language model, speech recognition, music generation, etc. I highly recommend it.

por Man M S

Dec 02, 2018

This one was bit tougher then earlier 4 courses but a very good course. Course content is great for implementing NLP. Course step ups my existing level in Machine Learning.

por Andres S

Apr 21, 2018

This was the most fun course of the series. I particularly liked how you can use RNN for NLP. Great series of courses @ deeplearning.ai. Thank you Dr. Andrew Ng and team.

por banafsheh

Jan 18, 2019

the first week is relevant to my work, but it was great learning a bit about other topics in week2 and week 3. Thank you so much for making these videos and assignments!