Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,203 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

Invalid date

Excellent course! This course extensively covers all of the relevant areas of NLP with a strong practical element allowing you to applying Deep Learning for Sequence Models in real-world scenarios.

GS

Invalid date

So many possibilities will be presented in front of you after this course. The only limit is the boundary of my imagination and creativity, that is how I feel now upon the completion of this course.

Filter by:

801 - 825 of 3,671 Reviews for Sequence Models

By Karan

•

Sep 27, 2020

I am so thankful to Coursera for making this possible for me. This course tests your limits and makes you push beyond them. Great content.

By Shanay G

•

Aug 15, 2020

Well structured course and extremely good explanation of difficult concepts. Would recommend it to anyone interested in deep learning! :)

By Taiki O

•

May 24, 2020

This was the best course of deep learning. It took a lot of time, but I gained a lot too. Thank you very much and I hope to see you later.

By Pedro H M P

•

Apr 28, 2020

Curso bem ministrado, com um olhar profundo para o tema. Gostei muito, supriu a necessidade que eu tinha em entender a fundo redes neurais

By Fernando A G

•

Nov 4, 2019

Such a great end of the Specialization. Hope everyone has enjoyed it as I have, and Congratulations to everyone who has reached this point

By Manuel A

•

May 5, 2019

Very in-depth and practical course. Assignments are challenging and very funny. Some Keras background (or paralell learning) would be nice

By Dongrui J

•

Mar 30, 2019

Best course which help me to begin my career in ml & dl.

Thanks to Andrew Ng , a great teacher.

Thanks to all who contribute to this course.

By Kheng K M

•

May 4, 2018

Prof Andrew Ng has again shown his uncanny ability in breaking down a very complex subject into something easy for everyone to understand.

By Jonathan D

•

Feb 13, 2018

Loved the exercises and materials in Week 2. I plan to specialise in DL text summarisation. This course has been very useful to me. Thanks

By William

•

Sep 21, 2020

Learning AI is a journey. This was a great foundational course....I look forward to applying what I learned to real world challenges!!!

By H A H

•

Sep 21, 2020

best for a beginner who wants to learn RNN ...once again thank u Andrew ng..and also thanks for this specialization course...thanks a lot

By Drake L

•

Aug 4, 2020

I enjoyed this Deep Learning Specialization more than any of the courses I took during my college career, and learned so much. Thank You!

By K

•

May 17, 2020

I have thoroughly enjoyed the course with Andrew sir, this whole specialisation is very informative , knowledgable and beginner friendly.

By Dennis B

•

Apr 9, 2020

Challenging course with great assignments for hands-on. Sometimes a struggle with the auto-grader, but still a highly recommended course.

By Akshat J

•

Oct 23, 2018

This course gives you a brief introduction to sequence to sequence learning, rnn, lstm etc and also speech recognition. Best course ever.

By Brian B

•

Feb 11, 2018

Excellent real-world examples with solid explanations of the algorithmic background. The lessons will be very easy to put into practice.

By Karthik T

•

Feb 9, 2018

Wonderful course, This is the First time in my life, I waited three months for a course. That is the interest the God Father has created.

By Avineil J

•

Feb 9, 2018

Superb! The course content is brilliant, and while the assignments are geared towards NLP, they do a good job of explaining the concepts!

By Chenyu G

•

Dec 9, 2021

Rich course content. It would be perfect if there is more introduction to the transformers model, which is more difficult to understand.

By Giacomo M

•

Jun 9, 2019

It has been a really interesting and tough course that has allowed me to gain practice with never, by me, seen data. Really suggested!

By Ivan S

•

Apr 26, 2018

This is a very useful, well-structured and interesting course. Programming assignments are very helpful and fun to do. Highly recommend!

By Soon C

•

Mar 5, 2018

The content is good. But in the programming assignment, why not stick to Tensorflow. Is there a reason opting for Keras over Tensorflow?

By Ercim C

•

Feb 22, 2018

Very well put together course with easy way to learn and use frameworks and getting under the hood of the latest technologies. Thank you

By Román P

•

Apr 24, 2024

Very grateful for all the knowledge i could get from these course to build my own DL apps. Thank you very much Andrew and all the team!

By Bishnu P

•

Feb 1, 2021

The best course to start learning about RNN, LSTM, GRU and how they are used for supervised learning of different types of sequences..