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

4.8
estrelas
27,686 classificações
3,306 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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3126 — 3150 de 3,308 Avaliações para o modelos de sequência

por sushil d

18 de abr de 2022

this one was quite fast, should cover transformer in details and also other NLP models like BERT, GPT, MORE QUIZES should to be added based on tranformer acrchitechture, GRU and LSTM should me made short as LSTM is dead

por João H

10 de nov de 2021

Every notebook was super well explained and made except the last one, which was very confusing, unfortunately. I did not enjoy doing that one :( Also, I think the transformers network were not deep explained as hoped.

por Nikhil Y

1 de dez de 2020

Video content is excellent but I am not very much happy with the assignment task. There should must also be some video content based on the assignment because the some codes some libraries are not taught.

por Dominik B

27 de abr de 2020

In comparison with other courses in this specialisation a lot of assignments were poor quality - vague descriptions and code logic (especially week1, asign 2 & 3) or just broken (last week3 assignment)

por Pier L L

14 de fev de 2018

With respect to the others, this one seems to be prepared almost in a hurry and the learning curve is very steep and sometimes the programming assignment don't have a nice progression as the others.

por saipuneet357 .

2 de fev de 2020

Videos were really informative and were equally interesting, but I believe that the programming assignments lacked a bit in clarity. The instructions were really unclear, it could have been better

por Lyn S

3 de abr de 2019

Quite a few bugs or abstractions in this course, in comparison to the others the projects feel a bit rushed and pushed together. Andrews's explanations and video lectures were still great though.

por 田奇

3 de mar de 2018

this course is the most difficult in deep learning specification, but i think Andrew NG should design more homework for word embeddings and bidirectional rnn, i do not understand how it works yet

por Egnatious P

29 de abr de 2020

The course was great. However, coming from finance I was also hoping to see some examples which use time series so I can get a picture of how I can extend this knowledge to my specific domain.

por Ioannis B

27 de mai de 2020

The module was really good in explaining the concepts, but there wasn't any deep dive on the equations and mathematics behind with the results of making the code assignment harder to achieve.

por Farzad E

18 de jun de 2019

I gave 5 stars to other courses in this series but this one doesn't deserve 5 stars. There were many typos and bugs in the assignments compared to the other courses of the specialization.

por Rohit B

27 de set de 2019

Video Lectures were excellent.

Assignments, however, were buggy and spoonfed you too much. I completed them, but on more than one occasion, I had no idea what the code was actually doing.

por Purin W

22 de mai de 2021

The lectures are wonderful as usual but the practical assignments are so extraordinarily perplexing that it does not seem to improve the learner's comprehension by a significant extent.

por Удимов Д А

28 de jun de 2020

Boring course:

Short videos instead of lections.

Copy-paste task instead of exercises.

Loading pretrained models instead of training.

Good full keras tutorial will be ten times more useful.

por Noam S

27 de out de 2018

The lectures were not as good as the previous andrew ng. courses, and the exercises were quite bad in all honesty.

I do appreciate what I have learned, as the lectures WERE clear enough.

por Héctor A

26 de fev de 2020

Just one observation, the general view I have from this course is very positive but compared to the other courses the program exercises in this course are more difficult to understand.

por Marc D

10 de nov de 2019

A good introduction in Sequence models. Unluckily the programming assignments are more of a guess work then real knowledge as there are too few possibilities to check the own code.

por Pablo M

18 de mar de 2018

Despite being a great introduction to many NLP concepts, the programming exercises are a bit too much "fill-in-the-blanks" and not challenging enough. It is still a great course !

por Aswin R

22 de mai de 2020

Course contents were very good, but the assignments could have been improved a lot. Couldn't get much value out of the assignments rather than blindly following the instructions.

por jie y

31 de mar de 2018

The class covered too less on the Sequence models such as LSTM and GRU. It has too much domain knowledge related videos. Also, it does not have any video related to Time Series.

por Daniel H

18 de jul de 2020

The videos are good, however the assignments are too long with sooooo many text inside. You have to make it more efficient somehow.

But thank you anyway for the great content!

por Touqeer A

9 de ago de 2020

Assignments in this course are relatively less organized. You have to read a lot of description first and then code and have to go back/forth between code and description.

por Daniel E

12 de jul de 2018

I believe that the course needs more time allocated to the incremental teaching of this rather large subject area with varied applications. Just needs to be a better way.

por Loic R W

26 de set de 2019

The course was especially interesting in week 2 and 3, but the assignments for week 1 were confusing and sometimes it was hard to follow where the logic was coming from.

por Aditya D

24 de ago de 2020

This was the most difficult to understand course in the whole specialization. Would have enjoyed more if the course material was a little more spaced and elaborated on.