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学生对 deeplearning.ai 提供的 Sequence Models 的评价和反馈

4.8
25,914 个评分
3,054 条评论

课程概述

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....

热门审阅

AM
Jun 30, 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
Oct 29, 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.

筛选依据:

2901 - Sequence Models 的 2925 个评论(共 3,024 个)

创建者 Ankit S

Jul 17, 2018

Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments

创建者 Nachiketa M

Feb 16, 2018

This course was good but in comparison to the other courses in the deeplearning course series, this course lacked adequate depth.

创建者 1140325971

Jan 23, 2020

The course is a good course because the lecture Ng.W ,but the exercises is not easy for our beginers for such tools like kears.

创建者 Seng P T P P

Nov 8, 2019

The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.

创建者 Thomas N

Mar 9, 2018

Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.

创建者 Vinjosh V

May 11, 2020

The videos are great - however it would be useful to provide some help on how to implement the concepts programatically.

创建者 Søren M

Feb 16, 2018

Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.

创建者 Laurent B

Jan 12, 2021

Only on NLP applications, it would have been great to apply GRU or LSTM on numerical data like finance for example.

创建者 Devansh K

Sep 20, 2020

The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses

创建者 Sandeep P

Jul 27, 2020

Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.

创建者 Rudolf S

Jul 15, 2019

Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.

创建者 SHALEEN A

Oct 3, 2020

the videos are programming assignments need some serious updates, too many typos and wrong information present

创建者 Maysa M G d M

Jun 25, 2018

I think you have to know more keras than is explained in the course. The keras documentation it is not enough.

创建者 Raghav G

Jul 13, 2020

An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.

创建者 Michael K

Aug 6, 2018

Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent

创建者 Pankaj R

May 8, 2018

Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3

创建者 Gargi V

Feb 7, 2020

There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.

创建者 Mikko L

Apr 14, 2018

Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!

创建者 Shengyu H

Feb 6, 2020

Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)

创建者 Alexander B

Feb 14, 2018

incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?

创建者 Jinxi W

Feb 20, 2018

There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.

创建者 Yao G

Sep 12, 2018

The assignments should be improved. More prep on Keras will help improve the efficiency of learning.

创建者 Kabakov B

Aug 30, 2020

The practical tasks is bad. You are simply needed to rewrite formulas to python most of the time.

创建者 Benoit D F

Mar 19, 2018

Very interesting topic but coding exercices and quizzes were a bit clunky and in need for ironing

创建者 Andrei M

Jun 17, 2018

The content is super interesting, but the assignments are more of the same 'fill in the blank'.