Chevron Left
Voltar para Sequence Models

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

4.8
18,120 classificações
1,964 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

JY

Oct 30, 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

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.

Filtrar por:

1651 — 1675 de {totalReviews} Avaliações para o Sequence Models

por Alon M

Oct 13, 2018

As always, this course is great. however, for some reason this course is much more difficult then the others, and i feel as if it is packed too much.

por Ariel H

Oct 13, 2018

Excellent

por Ross H

Oct 14, 2018

Concise and helpful

por Ahmed N

Oct 02, 2018

Very Awesome Course i got knowledge about Sequence to Sequence models and how they works in practical software . Thanks to Prof.Andrew.

por Endre S

Sep 18, 2018

This last course of the series while still being excellent, it had a few minor issues in the assignments and was quite hard compared to the previous four. Nevertheless, I still learned a lot from it and I am really grateful for it being available.

por Samuel W

Aug 24, 2018

Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.

por John B

Sep 20, 2018

Great content, and leaves me set to build systems making predictions for or conversions between sequences- particularly including text posts, which are an interest of mine.

Deducted a star because a couple of ungraded exercises contained errors which had been left uncorrected; they were still valuable, especially the manual implementation of backprop one, but there's some missing attention to detail there. But the level and effectiveness and practical applicability of the course remains excellent and I'd still heavily recommend it.

por Jingbo L

Mar 16, 2018

The homework grading methods need improvement. I got the right model and get the right results, but still have to spend tons of time to make the submission pass the grading system. It is a waste of time for future learning. You may want to train a DL model to solve this grading problem :).

por Guan W

Mar 11, 2018

Excellent course content, but poor maintenance of programming assignment

por Chinmay P

Jul 05, 2018

I wish it was a bit more interesting. It also kinda feels like Andrew has a bit of a problem himself in understanding the paradigms stated in this course, and that makes me feel somewhat confused as well. Would recommend for the math, the notations are weird and confusing sometimes but it is understandable for most parts.

por Stephen R

May 29, 2018

Very interesting application of deep learning. Gives a good overview. Assignments are fun, yet it's too easy to complete the assignments without understanding the big picture. I found the "attitude" assignment in week 3 a bit difficult to grasp however. Particularly liked the dinosaur names, emojify, the humour and positivity in the course: mentioning gender/racial bias, encouraging people to do good with their skills. Namaste!

por Jan Z

Feb 23, 2018

Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!

por Georges B

Feb 21, 2018

Great course and material, Andrew NG really know who to explain difficult subjects in an intuitive way. However, the course seems that it still needs some work (there are some bugs in the lectures and assignments)

por Nick J

Mar 11, 2018

Great course, but too many mistakes in the assignments.

por Emanuel V

Apr 02, 2018

This is a good course. However, this topic deserves much more detailed work.

por MD Q A

Apr 09, 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

por Pengfei J

Feb 23, 2018

The update and correction of error should be more effectively and actively managed. That's the only error so far.

por Zewei W

Feb 03, 2018

It's really interesting!

por Jayadev H

Mar 03, 2018

not as fun as CNN course but still so useful!

por Austin B

Feb 21, 2018

Very glad I took this course! A little rough around the edges as far as video / assignment quality, but seeing that this is the very first run of this course, I know it will only improve.

por Nicola P

Feb 14, 2018

The lectures are excellent. The assignments are an extremely valid trace of significant deep learning application, while they lack a bit of challenge.

por Sandeep J

Feb 22, 2018

Awesome course. It feels like this one was more rushed than the others in the Specialization. I am a bit concerned whether the "Specialization" has become a "Survey" of the course, and leans heavily on the assignments for teaching..but then, could do more for why some architectures are the way they are. The assignments improved from being a spoon-feeding exercise. That's good. But, on the other side, Keras documentation was confusing.

por Yunhua J

Jun 12, 2018

Most optional assignments contain bugs/errors. Other than that, this is a great course, just as the 4 other courses in this specialist series.

por Paulo S

Mar 09, 2018

Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.

por Kai Z

Feb 19, 2018

Good demonstration