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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,414 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

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.

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.

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676 - 700 of 3,697 Reviews for Sequence Models

By João F

Sep 28, 2019

Excellent course and specialization. Very detailed explanations, active forums and great assignments. A big "Thank you!" to Professor Ng, the staff and Coursera!

By Thomas A

Dec 3, 2018

Kinda hard for me, because I am more involved into Structured Data and Image Processing Projects right now. But this course gave me lots of new ideas. Thank you!

By EDGAR G L D

Jan 24, 2023

Very intuitive course, I had some hard time during week 3 quiz and week 4 assignments, but when you finally make, you start realizing how the algorithms work :)

By Bachchu P

May 30, 2022

Very much helpful course specially for NLP and Speech Recognition. Practical session was very interesting and got a broad idea of the topic. Thank you Andrew Ng

By Ali

May 12, 2020

The most challenging one of the 5, projects were interesting. Andrew's approach is clear as always. Great place to start. Previous 4 courses are a prerequisite.

By Shantanu A

Feb 4, 2020

I loved the content of this course. It covers very relevant topics, the lectures are fun and easy to navigate through, and the assignments are very interesting.

By Lars R

Mar 30, 2018

Great video lessons though some of them repeated the same point to many times. Great test/questions sections. Very interesting, educational and fun assignments.

By O K

Nov 19, 2021

This was an excellent introduction to sequence models. It provided me with fundamentals (and more) on the subject. Will be keeping this course as my reference!

By Aravind R K

May 30, 2021

Great way to finish off the DL specialization. Had a blast learning about time sequences and attention models. It was extremely fun to work on the assignments.

By Oleg S

Oct 21, 2020

Extremely useful course. From base example to serious mechanisms like Attention. Thanks to all of the team for that specialization and especially to Andrew Ng.

By joangenis V A

Sep 14, 2020

Wonderful. Fun. Interesting. Relevant.

Only improvement: free extended versions of the notebooks, ungraded, with the long process to do the end-to-end projects.

By Sann S S Y

Jul 18, 2020

This course is very affect to fill my knowledge during pandemic. I hope to get more knowledge by learning courses related with machine learning and AI on here.

By Sarfaraz K

Feb 26, 2019

Awesome course, no other online course can match the depth and breadth of the content. State of the art information and super useful and practical assignments.

By Gilles A

Aug 3, 2018

Great, very usefull with both fundamental understanding of the sequence model, and great practical exercises unsing Keras both to fully understand and gain pra

By Jinkai W

Jul 4, 2018

Finally, finish the 5 courses, really appreciate Andrew's helpful instruction and the inspiring homework. These courses really help me get a big picture of DL.

By Ferenc F P

Mar 22, 2018

Very good introduction to RNN, GRU and LTSM neural networks with good practical examples. Recommended for those who want to understand how these networks work.

By Buddhika L

Mar 3, 2018

This is a very practical course on using Deep sequence models such as RNNs, LSTM and GRU. Lots of real world application based assignments. Thank you Prof. Ng!

By Lambertus d G

Dec 12, 2020

This one being the most challenging course of the specialization imo and required some digging. I guess its the icing on the cake if you manage to complete it

By Gordon L W C

Aug 11, 2019

The sequence model is very complete and teaches most of the important concepts using RNN. I think it is a very nice foundation for whoever wants to learn RNN.

By Liam A

Aug 4, 2019

Very difficult course, but perfectly complete-able if you studied Courses 1, 2 and 4. Would like to learn something like reinforcement learning in the future!

By Gaurav J

Aug 17, 2024

it was one of the best course in this universe . Thanks & Jai Jinendra to Prof. Andrew NG sir, it was mind boggling experience for me to complete this course

By Yuan J Y

Aug 10, 2023

❤️ Every piece of resources and knowledge from Andrew's course is powerful for any kind of work 💯. This course is a must-study for every DS & MLE & SDE~👍🙏

By metin s

Sep 18, 2021

I think DLS_Courses are excellent. I liked all the courses. I am glad that I have completed the courses. Many thanks to Andrew_NG and his teammates.😊👏✔👍😊

By Jerry P

Nov 20, 2020

Andrew Ng is a great teacher who could explain complex concepts clearly. And the teaching materials are well prepared. I enjoyed the course a lot. Thank you.

By Aaron R

Mar 31, 2020

Great course! Covers all the essential material. The discussion on attention is the simplest explanation I've come across but gets into all necessary detail.