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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,838 ratings

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) 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. The Deep Learning Specialization is a 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 take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

Top reviews

MK

Mar 13, 2024

Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects

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.

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2951 - 2975 of 3,620 Reviews for Sequence Models

By Zhaoqing X

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Jul 24, 2018

It's an excellent course! I will give it 5 stars if it could offer more interesting and meaningful assignments(Not offend, but it a little too easy and the assignments are not very related to the real work).

By Ayush N G

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Sep 23, 2019

The course should contain more explanation about natural language processing like tf-idf,lemmatization,stemming,dialog flow. Although i got a good explanation of working of RNNs,LSTM and machine translation

By Md Z S

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Feb 3, 2019

Great course to start off with sequence model. The programming exercises were in depth and deliver a great learning experience. Would love to see more of sequence literature in the course's future versions.

By Michele I

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Apr 18, 2018

Again a brilliant course from Andrew NG, but though and dense this time. In order to grasp the meanings videos and lectures need to be revised a few times. Also, get some extra info elsewhere does not hurt.

By Aleksi S

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Feb 22, 2018

Excellent presentation, and interesting assignments. One star dropped because a couple of technical issues with the assignment material (typos in the mathematical formulas / expected results here and there)

By Zhao L

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Jun 8, 2019

The contents are great as always. However, the server is not reliable. Once, the grader is down and you can't submit homework. For another time, the connection is lost and all the changes made are lost.

By Eoin T

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Feb 20, 2018

Great course, but I felt the gap between the very high level lectures and very low level labs was a bit too wide. I had some issues with the autograder and losing progress in the notebook between sessions.

By José b

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Jan 23, 2021

Great course. The only frustrating part are the programming assignments as it is very cumbersome to have to go thru the discussion forums to resolve issues. Tough to find helpful insights thru the forums.

By Muhammed A Ç

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Oct 19, 2020

Andrew Ng is perfect like everytime. I didn't have any issue with programming exercises unlike other comment so probably it fixed. I wish course to be more detailed especially training word vectors part.

By Angelo C

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Jun 23, 2019

Very well produced and explained. In my case, the nature of the Sequence Model makes understanding the concepts and finishing the assignment more challenging than other segments of the specialization.

By ROHITH R E

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Feb 22, 2019

The course is very short when compared to first 3 courses in this series. It would have been better if more explanation and shorter assignments were provided in the initial weeks and increase the pace.

By Prashant J

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Apr 3, 2019

The previous courses raised the bar and expectations. The assignments for Week 1 and Week 2 were a bit unclear. Lectures for Week 1 and Week 2 can be improved as well. Besides, this is a great course!

By Balazs A

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Jan 15, 2019

The material itself is very informative and useful. But I have to give "just" 4 stars because, the training videos have to be edited better and there were a few mistakes in the programing exercises.

By Saureen S

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Dec 15, 2018

Please work on getting the notebooks to work properly. Also very bummed that after canceling my subscription, I won't have access to my homeworks. You guys should give us lifelong access - we paid!

By Yen-Chung T

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Feb 21, 2018

A general overview into the power of sequence models. There is no rigorous mathematics here so most of what students can learn is high-level implementation and intuition about the various models.

By Juan A M C

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Nov 29, 2021

Es el mas complejo de todos los cursos de la certificación, faltna alguna traducciones que lo hacen un poco mas dificil de entender algunos conceptos, pero leyendo y probando se logra entender.

By AKUT J R

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Aug 16, 2020

Great final module !

General feedback : was expecting an application example other than image, speech recognition such as related to Supply chain management, production planning, pricing etc.

By Ali K

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Mar 24, 2020

An appropriate course for getting started with Recurrent Neural Networks and its very applications in the domains of speech recognition, sentiment classification, neural machine translation etc

By AASTHA P

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Jun 16, 2020

Overall teaching of Andrew Ng sir is Fabulous, but it was very hectic with the technical problem of the last assignment and I would like to thank Andrew Ng sir for the teaching me this course

By Tina W

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Jul 29, 2019

Very useful materials, but a little hard to digest. It will be more helpful if course lectures and slides can dive a little deeper into each model and provide more granular technical details.

By Kaushik D

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Jun 17, 2019

Exercises are sometimes vague and can be done without full understanding of the material. No officially given notes. No reading material that explains the concepts more clearly and in detail.

By Rahul P

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Sep 28, 2020

One of the best course i ever taken. glad to be part of such wonderful course teach by prof.andrew ng. learn a lot about sequence model and NLP. Highly Highly recommended for beginner in NLP

By Julian R

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Feb 17, 2018

Great Course, very insightful excercises, really enjoyed it - unfortunately some issues with the programming excercises.

Since it's the first run of the course they should have fixed it soon.

By Sharvil G

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Apr 29, 2020

the course content was really impressive, but some topics need to be explained in detail. Also working of LSTM should be further described in detail. Programming assignments are really fun.

By Bhargav A

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Dec 25, 2018

great course, lots of implementation details that are important were glossed over, while other areas had too much hw hand-holding + strict requirements on what the code needed to look like.