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

4.8
21,722 個評分
2,478 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....

熱門審閱

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.

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!

篩選依據:

2101 - Sequence Models 的 2125 個評論(共 2,455 個)

創建者 Cameron W

Sep 17, 2019

I felt like important concepts were glossed over far more in this course than previous courses in this curriculum.

創建者 Pengfei J

Feb 23, 2018

The update and correction of error should be more effectively and actively managed. That's the only error so far.

創建者 Claus E

Apr 29, 2020

Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.

創建者 Adam

Apr 11, 2020

Only complaint is that the exercises are too easy when all answers are practically given in the hints section.

創建者 Jan Z

Feb 23, 2018

Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!

創建者 Paulami D

Mar 12, 2018

This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive

創建者 S A

Jul 02, 2018

The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.

創建者 Aleksandar B

May 20, 2018

A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange

創建者 Kiran S

Feb 04, 2019

Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

創建者 Brandon C

Dec 11, 2018

Keras exercises tough to get through based on provided information, but the content was superb as always

創建者 Paul H C

Nov 19, 2018

Really good course. Exercises are not always connected to the core of the deep learning problem though..

創建者 Sharon M

Sep 19, 2019

The course is great , in the assignments it is better to stick to single package and TF is preferable.

創建者 Jorge L

Jan 29, 2019

Highly recommended course to understand the concept of speech recognition models, very real use cases.

創建者 Fabrizio B

Jun 04, 2020

Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

創建者 Zhiliang W

Jan 25, 2019

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

創建者 Zhao C

Apr 20, 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

創建者 Amiya M

Oct 21, 2018

learned a lot but I wish their should be some sort of referencing material for further exploration

創建者 Alex R

Feb 25, 2019

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

創建者 MD Q A

Apr 09, 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

創建者 M S S

May 14, 2018

The Attention model still needs more explanation. I haven't completely grasped attention models

創建者 Jon-pierre H

Feb 28, 2018

More errors than most in the projects. Likely due to the rush of getting this final course out

創建者 Alex F

Apr 08, 2019

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

創建者 Phuong-Khanh H

Aug 23, 2018

The course is of high quality. However, it is not as good and clear as the previous courses.

創建者 Wes H

Apr 15, 2018

Content needs a few improvements in quality but otherwise a valuable and instructive course.

創建者 harm l

Feb 19, 2018

Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.