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

4.8
estrelas
23,593 classificações
2,735 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.

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2601 — 2625 de 2,714 Avaliações para o Sequence Models

por Reetu H

Dec 23, 2019

There were lot of bugs in the assignments taking up lot of time to fix. The course was okay, I liked the other courses in the specialization more.

por Kaupo V

May 07, 2018

The Keras programming exercises are quite weak. Please re-think how to teach them more systematically. Currently it is quite a lot of hit and miss.

por Leandro A

Mar 18, 2018

There was a bug in a programming assignment notebook that took too much time to notice that i was doing ok but the expected ouptut was wrong

por David H P

Apr 03, 2018

The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.

por Iván V P

Feb 18, 2018

Several grader issues, only 3 weeks of work, and a lot of errors in the solutions... In addition, less content than in the other courses...

por Hang Y

Aug 24, 2018

Compared with previous courses, this one seems to be rushed. The focus on applications seems to be much higher than the theoretic side.

por Yash R S

May 09, 2018

Not as great as the other courses in the specialisation. The assignments can be a little off putting, but lectures are top class again.

por Roberto S

May 12, 2020

Week 1 took double time to be completed. Times proposed for the assingnement are underestimated.

Please readjust the assingement time.

por Ankit S

Jul 17, 2018

Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments

por Nachiketa

Feb 16, 2018

This course was good but in comparison to the other courses in the deeplearning course series, this course lacked adequate depth.

por 1140325971

Jan 23, 2020

The course is a good course because the lecture Ng.W ,but the exercises is not easy for our beginers for such tools like kears.

por Seng P T P P

Nov 08, 2019

The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.

por Thomas N

Mar 09, 2018

Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.

por Vinjosh V

May 11, 2020

The videos are great - however it would be useful to provide some help on how to implement the concepts programatically.

por Søren M

Feb 16, 2018

Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.

por Sandeep P

Jul 27, 2020

Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.

por Rudolf S

Jul 15, 2019

Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.

por Maysa M G d M

Jun 25, 2018

I think you have to know more keras than is explained in the course. The keras documentation it is not enough.

por Raghav G

Jul 13, 2020

An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.

por Michael K

Aug 06, 2018

Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent

por Pankaj R

May 08, 2018

Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3

por Gargi V

Feb 07, 2020

There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.

por Mikko L

Apr 14, 2018

Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!

por Shengyu H

Feb 06, 2020

Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)

por Alexander B

Feb 14, 2018

incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?