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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,853 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

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.

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401 - 425 of 3,621 Reviews for Sequence Models

By Pedro H

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Dec 6, 2018

Great course: material, instructor, assignments, everything! Perfect way to introduce or consolidate your knowledge in recurrent neural networks to model sequence data with a really strong component of direct industry-relevant application.

By hervind

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Mar 23, 2018

Well structured and easy to comprehend.

Mr Andrew Ng and team has organised the course in the best way.

Through this course I get new theory and programming experience for my self.

The exercise is fun like naming dinosaur

Thanks after all

By Nitin C

•

Jul 27, 2023

It was too much of a roller coaster journey. The content was rich and tough as well. But in the end I did feel I had done something. The assignment instructions in the workbook could be better as some of the instructions are really vague.

By Mehul

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Aug 27, 2019

Feels great to complete this wonderful journey. Once again thank you Andrew Sir for creating this type of novel courses, great to have you as an instructor. Hope I someday would build a great model of my own, and get a chance to meet you!

By Alex B

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Mar 22, 2018

Very good, by necessity it's a little hand-holdey but otherwise it would take an unreasonable amount of time to cover the material. Hopefully I'll be able to leverage the background i gained in the specialization in future job experience.

By Anthony S

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Feb 7, 2021

Excellent Overview of Deep Learning. I did a PhD in AI 30 years ago and this was a great introduction to the latest research. I highly recommend to beginners and old timers like me to get up to date on the latest research and techniques.

By Huy N

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Jul 30, 2020

This course give me opportunities to dive in to RNN and other architectures relating to NLP. Although it is a little bit tougher than 4 previous courses (in this specialization), it provides several interesting applications in real life.

By Răzvan I

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Jul 18, 2022

This is perhaps the toughest one so far. I still feel happy to see that NLP revolutionised deep learning. Things like attention and transformers were created for NLP tasks and now they play a major role in every branch of deep learning

By Khushal M

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Apr 11, 2019

I think it is the best courses designed so far. Gives you exactly the appropriate amount of information needed to understand basics behind sequence models. A must do course for all the students who want to pursue a career in this field.

By Amanda W

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Mar 21, 2019

Andrew Ng does an excellent job of explaining and teaching various sequence models in a format that any layman can understand. I really enjoyed this course and look forward to taking more corses with Mr. Ng and his staff in the future.

By 刘尧

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Nov 17, 2018

Finally, I finished all the courses of the specialization within 4 weeks! Great courses, and I will recommend everyone I met who wants to learn ML and DL to go and see this series of courses. Thank Andrew Ng and course assistant as lot!

By Yong B S

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Aug 30, 2020

This is my last course of deep learning specialization class. I've learned the hottest topics in AI fields. I am really appreciate the Prof. Ng for his wonderful teaching and excellent lectures and hard work. Thanks a lot to COURSERA.

By surya b

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Jan 11, 2020

Excellent course. The instructor is able to teach difficult concepts in a very simple way which make them very easy to understand. Enjoyed the programming assignments. Looking forward to any course Andrew Ng might teach in the future.

By Martín C

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Jun 7, 2020

¡Excelente curso! Llegar hasta acá haciendo la especialización vale el esfuerzo. Andrew Ng como siempre un gran maestro.

Excellent course! Getting here doing the specialization is worth the effort. Andrew Ng as always a great teacher.

By Harsh G

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Sep 19, 2022

Amazing course, highly recommended for learning about sequence models. It also covers transformers which are a relatively new topic. The labs also give you a a great introduction to using tensorflow to create and train your models.

By Christian D

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Nov 23, 2020

the course is really well made, just enough theory and lots of practical labs. Although it does not go deep in the theoretical explanation, it develops intuition and triggers a curiosity to go further and continue to learn.

Bravo!

By Daniel G

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Mar 16, 2018

My only constructive criticism is: more difficult homework, or more homework in general. The programming assignments seem very important for internalizing concepts, and this course covers a lot of material in a short period of time.

By 林越

•

May 20, 2022

A very efficient way to help me go through quite a difficult course with many linear algebra. Really thanks to the super power that you empowered me.

But why can't I find my certificate after finishing the courses with a 98% scores?

By KRISHNA K S

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Feb 17, 2021

It wasn't easy to finish. Comparatively 3 weeks only, but the content is hard. Compared to Computer Vision techniques, NLP techniques are harder to develop an intuition around. But a great learning experience. Interesting projects.

By Maria V

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Jan 10, 2021

Every course with Andrew is worth it. He is great at explaining details and providing examples even for quite complex topics.

The most useful thing for me in Andrew's are programming assignments. I enjoyed them immensely, thank you!

By Jagruti P

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Aug 27, 2020

A very good course on Sequence Models starting from the basics to designing a trigger word detection model. I will surely recommend the course if you are a deep learning enthusiast or you want to brush up your skills in this field.

By Aliaksandr S

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Oct 22, 2018

Excellent material; though VERY dense. Notebooks still have some issues, but forums are really helpful. I feel that first 3 courses were much better prepared; though CNNs/RNNs are still super-useful despite not being 100% polished.

By Junliang Z

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Oct 17, 2018

Really funny section about sequence model with interesting examples, helping me to understand how to learn the pattern of sequence data and transfer it to useful information. arouse my curiosity about other application in this area

By Sundar S

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Sep 13, 2018

Amazing set of courses. Learned a ton of information that I will directly use at my current work and beyond. And Andrew is a fantastic teacher that really engages with his students (despite this being an on-demand online course).

By Nitesh B

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Sep 24, 2020

I enjoyed this course thoroughly. Excellent platform to start Deep Learning. This course has touched almost every concept of deep learning. It has provided me the solid base now I am confident enough to take it to the next level.