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

4.8
estrelas
25,406 classificações
2,989 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

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.

JY
29 de Out de 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.

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2851 — 2875 de 2,967 Avaliações para o Sequence Models

por 1140325971

23 de Jan de 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

8 de Nov de 2019

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

por Thomas N

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Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.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

11 de Mai de 2020

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

por Søren M

16 de Fev de 2018

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

por Devansh K

20 de Set de 2020

The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses

por Sandeep P

26 de Jul de 2020

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

por Rudolf S

15 de Jul de 2019

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

por SHALEEN A

3 de Out de 2020

the videos are programming assignments need some serious updates, too many typos and wrong information present

por Maysa M G d M

25 de Jun de 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

13 de Jul de 2020

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

por Michael K

6 de Ago de 2018

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

por Pankaj R

8 de Mai de 2018

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

por Gargi V

7 de Fev de 2020

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

por Mikko L

14 de Abr de 2018

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

por Shengyu H

6 de Fev de 2020

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

por Alexander B

13 de Fev de 2018

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

por Jinxi W

20 de Fev de 2018

There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.

por Yao G

12 de Set de 2018

The assignments should be improved. More prep on Keras will help improve the efficiency of learning.

por Kabakov B

30 de Ago de 2020

The practical tasks is bad. You are simply needed to rewrite formulas to python most of the time.

por Benoit D F

19 de Mar de 2018

Very interesting topic but coding exercices and quizzes were a bit clunky and in need for ironing

por Andrei M

17 de Jun de 2018

The content is super interesting, but the assignments are more of the same 'fill in the blank'.

por Lars O A

29 de Mai de 2018

Put to much focus into getting the Keras code to work instead of truly learning the algorithms.

por NAGARAJ R

23 de Jan de 2019

I found this very hard to follow along. The concepts were too heavy and needs a slower pace.

por Sidharth S

23 de Dez de 2018

Really Nice course. Could have been more fun if Keras and it's functioning had more focus.