Chevron Left
Voltar para Sequence Models

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.

Filtrar por:

2651 — 2675 de 2,967 Avaliações para o Sequence Models

por Hassan E

2 de Mar de 2019

Greeeeeeeeeeeeeeeat but less than the first four courses.

por KIT M C

13 de Nov de 2019

The program in the exercise is a bit hard to understand.

por Galvin W

23 de Fev de 2018

Good when it came. Annoying for the 2 month launch delay

por David N

26 de Abr de 2020

i'd like to have applications more suited to real world

por Vikas K

31 de Mar de 2019

it would have been better if he used more visualization

por Jarosław G

21 de Jan de 2019

There were a lot of problems with notebook task grader.

por Nick J

11 de Mar de 2018

Great course, but too many mistakes in the assignments.

por Aloys N

22 de Out de 2019

Good content, it would have been good to do more keras

por Johannes J

27 de Jun de 2019

Great insights, helpful notebooks, good explanations.

por Karol K

26 de Fev de 2018

Again, programming assignment should work flawlessly!

por Roberto G

5 de Abr de 2020

un poco lentos los ejercicios y repetitivos comandos

por Saurabh P

17 de Fev de 2018

Very good introduction to RNNs and their variations.

por Jetro G K

24 de Jul de 2018

Muy difícil en comparación con los demás anteriores

por 阿刘

6 de Ago de 2020

这节课主要还是以入门为主,没有讲太多理论知识,序列模型部分讲解跳跃性较大,需要结合更多资料去仔细研究

por Minh N

4 de Jan de 2020

Too much details! Too little time. More exercises!

por Igor R

20 de Abr de 2018

Excellent content, the auto-grader not so awesome.

por Andriyanto H

18 de Abr de 2018

Very good course but can be too rushing sometimes.

por Syed S

1 de Fev de 2020

A little too difficult to understand from scratch

por ANDREW ( G

20 de Jan de 2020

A little bit less quality than the previous ones.

por Hemanth M

31 de Jul de 2019

More programming examples/exercises would be good

por tusheng w

18 de Abr de 2018

useful to familiar with RNN, GRU, LSTM and so on.

por SuperChen

12 de Fev de 2018

Exercises are a bit tough and misunderstanding...

por Wan N

15 de Abr de 2020

It will be nice if the videos are more detailed.

por Marco M

17 de Mai de 2018

The course was really interesting and well done

por Devid

4 de Jun de 2019

One task has a bug and impossible to complete.