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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,852 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

WK

Mar 13, 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks a lot!

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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426 - 450 of 3,621 Reviews for Sequence Models

By AKSHAY K C

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Mar 21, 2020

The course was very well structured from the basics of RNN progressing slowly towards LSTM, GRU, word embedding and attention model finally. Kudos to the instructor and the team for providing such a good course on sequence models.

By Meer H A

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Jun 2, 2019

Thank you Andrew! Learned great things from this deep learning specialization course. The knowledge and certification I gained will help long way, in shaping my career. Thanks once again to the creators of this wonderful course :)

By jayshankar n

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Sep 3, 2023

Deep learning gives one a superman feeling. Math concepts behind all deep learning implementation. Andrew does great in bridging and explaining the match concepts and deep learning together. The online lab saves a lot of time.

By Carlos A C G

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Jun 11, 2020

Amazing job once again by Andrew and his team. The world needs much more of this! Specially more implementations that can be put into use easily in real-life apps and projects. Now we know the theory, we can put it into practice.

By ongole s s

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May 27, 2020

I have learnt a lot from this course and it is very interesting to be part of this course as i understood the concepts of NLP in deep learning which is the most fascinating technology to learn and implement in real world problems

By Sergio B S

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Sep 14, 2018

The first week of this course is maybe the most harder week of all the Deep Learning Specialization. But, with Sequence Models I have understand infinite better the great possibilities of this techniques for improving the world.

By Brian D

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Jul 21, 2021

Great course, programming assignments become more interesting in the later section of the specialization. Really get you thinking ! Had a lot of fun learning these skills through the entire 5 courses, would definitely recommend.

By Beltus N

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Oct 19, 2020

After finishing this course, I'm so fired up by the potential projects I can build with this knowledge that I feel adrenaline coursing through my veins. Thank you Prof. Andrew Ng. Thank you Deeplearning.ai team. You're the best.

By Shashti K N M

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Jun 8, 2020

The Course was Excellent. Sir's teaching was Excellent. I understood the techniques of Sequence Models and Natural Language Processing. The Programming Assignments were Excellent. The Deep Learning Specialization was Excellent.

By George Z

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Sep 29, 2019

Amazing course and what a finish line. I only with the graded assignments are revisited as few of them have bugs in them. Also I hope the Word2Vec algorithm and word embedding in general is explained better and with exact steps.

By Sam D

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Feb 24, 2019

Awesome course and specialization. Now, to implement everything I learned in my own programs, and of course I will be sure to revisit the videos until everything becomes second nature. Learn, program, improve and repeat. Thanks!

By Anurag D

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Jun 24, 2021

This course is excellent to get a start of deeplearning.

I really emphasize this.

Dr. Ng is an awesome professor who can simplify abstract and complex concepts to a really linear knowledge flow i.e. removed activation layer hahha

By himanshu g

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Apr 26, 2020

This was particularly intensive course of this whole series, learned a lot.

Thanks to Prof. Andrew NG, accept a Natmastak Pranam from this Student of yours, will always be indebted for what I have learned here. You are the Best

By Rahi A

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Jan 8, 2020

I have many of books and blogs related to RNN, but was not clear and confident about it. And after studying only the first week video and lectures, I am so confident and happy that cant tell you!!! Thank you so much Andrew...;)

By Leonardo D

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Dec 4, 2019

It seems like there are several and very useful RNN models. Many of them are very good at specific tasks, and if you take this course you will be abe to understand and implement many of them. It was a really amazing experience.

By Sandeep P

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Jun 27, 2018

An excellent introduction to the theory and practice on recurrent deep neural networks. Great usage of all the 4 courses in this series to culminate with this course as a great finish to deep learning theory and implementation.

By Rafael E

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Feb 10, 2018

Yet another amazing class! I'm so grateful for the existence of these classes. It makes mastering deep learning very much easier. My thanks to Andrew, and all others who have worked so hard to make this course possible! :-)

By Hristo B

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Feb 25, 2019

Most notably, an exercise guides one through the building of a recurrent network from scratch. More exercises show the value of different architectures and make the learner proficient in using neural network libraries (Keras).

By Ashar J

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Jul 29, 2023

A comprehensive journey in the world of deep learning, with all the amazing knowledge required to headstart in the career of AI. Andrew NG and his team have done a remarkable effort in making this course simple and effective.

By Dima R

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Aug 11, 2021

It felt like an actually great course to understand what is what in deep learning world. So after this course there're still plenty things to learn, but now you will now at least what exactly why and when you should focus on.

By Aparna D

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Oct 30, 2018

This was quite a tough one.. But it was almost magical when the outputs of the assignment were successfully completed. Excellent. The discussion forums helped a lot, as the instructions were not very clear to novices like me.

By Roman P

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Jun 10, 2022

Great explanation of hard material, still wish there were more assignments, and they were more complicated and less guided, or start with simple assignment and increase the complexity and eliminate the guidance in next ones.

By Jeffrey T

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Apr 2, 2020

Amazing course, Andrew Ng presents the material in a concise and intuitive manner. It would be nice to have access to all of the material needed to fool around with the assignments on our computers in an offline environment.

By Dmitriy N

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Oct 6, 2019

Thank you for this wonderful sequence of courses! This whole concept is still a bit blurry for me, but as a lot of people during the interview have mentioned, one must simply exercise new skills to understand the technology.

By Gopi P V R

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Mar 16, 2019

It's great course to get concepts right and overview. It will be great if you add further programming assignments(other than partially coded ones) or resources as such where one can practice what he had learned as optional.