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

4.8
estrelas
27,648 classificações
3,300 avaliações

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

WK

13 de mar de 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!

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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3176 — 3200 de 3,302 Avaliações para o modelos de sequência

por Sandeep P

27 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

14 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

18 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 Anmol D

21 de mar de 2021

Theory explained in a better way, but practicals could have been more involved and better.

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.

por Uttam R

26 de mar de 2018

Course is got but grader compilations are horrible spent more time on them than the course

por Iván G

13 de mar de 2019

Not as good as structured in explanation nor in programming assigments as the last ones.

por mohsin j

7 de jun de 2018

This is only good enough, not good course. All previous ones were 5 stars, definitely!

por jinwei z

1 de fev de 2022

the lab and programming is not as intuitive as the first two course in the specilism.

por Thomas P

9 de abr de 2020

Overall a great class. I had some trouble understanding the programming assignments.