Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
26,479 ratings
3,123 reviews

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks 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. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our 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 gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

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.

WK
Mar 13, 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!

Filter by:

2976 - 3000 of 3,095 Reviews for Sequence Models

By Sandeep P

Jul 27, 2020

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

By 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.

By SHALEEN A

Oct 3, 2020

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

By 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.

By Raghav G

Jul 13, 2020

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

By Michael K

Aug 6, 2018

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

By PANKAJ R

May 8, 2018

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

By Gargi V

Feb 7, 2020

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

By Mikko L

Apr 14, 2018

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

By Shengyu H

Feb 6, 2020

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

By Alexander B

Feb 14, 2018

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

By Jinxi W

Feb 20, 2018

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

By Yao G

Sep 12, 2018

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

By Kabakov B

Aug 30, 2020

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

By Benoit D F

Mar 19, 2018

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

By Andrei M

Jun 18, 2018

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

By Lars O A

May 29, 2018

Put to much focus into getting the Keras code to work instead of truly learning the algorithms.

By Nagaraj R

Jan 23, 2019

I found this very hard to follow along. The concepts were too heavy and needs a slower pace.

By Anmol D

Mar 21, 2021

Theory explained in a better way, but practicals could have been more involved and better.

By Sidharth S

Dec 23, 2018

Really Nice course. Could have been more fun if Keras and it's functioning had more focus.

By Uttam r

Mar 26, 2018

Course is got but grader compilations are horrible spent more time on them than the course

By Juan I G P

Mar 13, 2019

Not as good as structured in explanation nor in programming assigments as the last ones.

By Mohsin J

Jun 7, 2018

This is only good enough, not good course. All previous ones were 5 stars, definitely!

By Thomas P

Apr 9, 2020

Overall a great class. I had some trouble understanding the programming assignments.

By Archana A

Oct 7, 2019

This felt the the least prepared and organized course of the series, unfortunately.