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學生對 deeplearning.ai 提供的 Sequence Models 的評價和反饋

4.8
18,985 個評分
2,054 條評論

課程概述

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....

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WK

Mar 14, 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!

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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1801 - Sequence Models 的 1825 個評論(共 2,028 個)

創建者 SeptemberHX

Jun 30, 2018

Maybe should give some advice about the future learning path.

創建者 Alvaro C

Jul 29, 2019

Much harder than previous ones, but also really interesting.

創建者 Jedrzej P

Apr 29, 2018

Would have liked an example outside of nlp, otherwise awsome

創建者 Anand B

Aug 20, 2018

Content is little less intuitive compared to other courses.

創建者 Hassan E

Mar 02, 2019

Greeeeeeeeeeeeeeeat but less than the first four courses.

創建者 KIT M C

Nov 13, 2019

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

創建者 Galvin W

Feb 23, 2018

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

創建者 Vikas K

Mar 31, 2019

it would have been better if he used more visualization

創建者 Jarosław G

Jan 21, 2019

There were a lot of problems with notebook task grader.

創建者 Nick J

Mar 11, 2018

Great course, but too many mistakes in the assignments.

創建者 Aloys N

Oct 22, 2019

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

創建者 Johannes J

Jun 27, 2019

Great insights, helpful notebooks, good explanations.

創建者 Karol K

Feb 26, 2018

Again, programming assignment should work flawlessly!

創建者 Saurabh P

Feb 17, 2018

Very good introduction to RNNs and their variations.

創建者 Jetro G K

Jul 24, 2018

Muy difícil en comparación con los demás anteriores

創建者 Minh N

Jan 05, 2020

Too much details! Too little time. More exercises!

創建者 Igor R

Apr 20, 2018

Excellent content, the auto-grader not so awesome.

創建者 Andriyanto H

Apr 18, 2018

Very good course but can be too rushing sometimes.

創建者 ANDREW ( G

Jan 21, 2020

A little bit less quality than the previous ones.

創建者 Hemanth M

Jul 31, 2019

More programming examples/exercises would be good

創建者 tusheng w

Apr 18, 2018

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

創建者 SuperChen

Feb 12, 2018

Exercises are a bit tough and misunderstanding...

創建者 Marco M

May 17, 2018

The course was really interesting and well done

創建者 Devid

Jun 04, 2019

One task has a bug and impossible to complete.

創建者 Chen L

Apr 06, 2018

hope there are more projects about time series