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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,616 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.

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

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726 - 750 of 3,738 Reviews for Sequence Models

By S A

May 2, 2020

I was highly confused about sequence models before this course. This course is highly recommended. Thanks to the total deeplearning.ai and Coursera team.

By Rajat M

Oct 20, 2019

Amazing Content !

Grateful to Andrew Ng and his Deeplearning.AI team for spending great amount of time and effort to come up with such a quality content !

By Mike O

Apr 29, 2019

Course content and lectures are excellent. Programming assignments have some minor glitches which should be addressed for a course that requires tuition.

By John E S

Dec 24, 2018

Great lectures. Well thought out quizzes and exercises. The only negative point is that the exercises are too easy, they spoon feed too much of the code.

By Janzaib M

May 24, 2018

Perfect Start for Understanding RNNs, LSTMs, BRNN, Attention and Basic NLP. It gets you up and running with very easy KERAS implementation of the things.

By Andrew S

Feb 14, 2018

The lectures are amazing. The assignments were difficult for me, but forced me to understand the concepts better. Really glad to have taken the course.

By Peter D

Feb 11, 2018

Excellent course that not only provides a good foundation for deep learning in general, but also gives some insights into more recent developments in AI.

By Leonardo P

Mar 20, 2021

That was a really cool course! Specially the last week, where we've implemented many ideas that I knew were possible but had no clue how to! Very nice!!

By Pat S

Jan 10, 2021

This course gives a great foundation to understand sequence models. Assignments help lay out how sequence models work and also interesting applications.

By Subrata S

Aug 17, 2019

Very much satisfied, to its content. Learnt a lot, thanks a ton to Prof. Andrew Ng for your hard work on its topics & how making learning easy.

😁️☺️👍️

By Marcus B

Jun 28, 2019

Very effective at improving my understanding of RNNs (and its variants), Natural Language Processing, and some basics regarding working with audio data.

By Vaibhav K

Dec 1, 2022

This is an awesome course I recommend who really want to learn deep learning step by step. It was really comprehensive theoretical and practical guide.

By AasimBaig M

Aug 2, 2020

This has been an excellent journey and I personally learned a lot from this courses. I want to thank AndrewNg for being the best teacher I ever had. <3

By V V

Jun 14, 2020

This specialization really helped me understand DL thoroughly. I really thank Coursera and Andrew's team at Deeplearning.ai for this wonderful content!

By Srividhya S

May 1, 2020

Awesome assignments. This course was a little difficult to understand but the assignments helped in understanding some of the complex topics discussed.

By Benjamin S S

Aug 15, 2018

Great course, but needs more checks for understanding during the lecture. Course would also benefit with a dedicated module on TensorFlow and/or Keras.

By Uyen H

Mar 16, 2018

The course is well-structured, and a nice introduction to sequence-related neural networks. The programming assignments cover interesting applications.

By Suresh K M

Mar 19, 2020

Fantastic! After this course, i can clearly understand how the basic RNN works. All the programming exercises are very very useful! Thank you so much!

By Kseniia P

Jun 29, 2019

Probably the hardest course of the deeplearning.ai specialization, but made easier with thorough explanations of basic sequence models' architectures.

By Nguyen M T

Feb 25, 2025

It's perfect course specialization for who's seeking the knowledge. Everything are explained very clear and easy to catch the concept. Happy learning

By Aboubakr P

Sep 25, 2024

Excellent course! I recommend this course. The coding assignments are really helpful represent a good way to gain better intuition on deep learning.

By Gökhan

Feb 18, 2018

This is an awesome course like other courses in this specialization. You can easily understand concepts and apply them thanks to Andrew and his team.

By Sergei B

Feb 25, 2021

Great course. The way Andrew explains the material makes it very understandable. Labs are very neat - especially the comments and markdwon portions.

By Mcvean S

Nov 20, 2020

Always a pleasure to learn from sir Andrew, and this is one of the best courses that teach Natural Language Processing and Sequence Models in depth!

By Vivek M

Apr 11, 2020

Sir Andrew teaches in a very friendly way, also the programming assignment is great to check your understanding of the concepts. Highly recommended.