Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,765 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 30, 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

Jul 1, 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.

Filter by:

1626 - 1650 of 3,765 Reviews for Sequence Models

By Abhinand

•

Aug 27, 2019

Excellent as always from the superman himself, Andrew Ng.

By Haoran C

•

Mar 12, 2019

I have learned a lot from this course. Thanks, Andrew Ng!

By S R

•

Dec 3, 2018

Good course on sequence models. Nice programming examples

By Kranti A

•

Jun 7, 2018

Thanks for your detailed Course content. Thank You Andrew

By Pedro

•

Feb 27, 2018

Best course you can find about recurrent neural networks.

By Andrii L

•

Feb 20, 2018

Awesome course! A bit harder than others but pretty good!

By Pedro G

•

Mar 24, 2021

This course was hard, but very motivating and practical.

By Rubén G C

•

Mar 23, 2021

Very good, but an intro to keras and tf would be usefull

By Xiaoyu X

•

Dec 21, 2020

This is a great specialization course for Deep learning.

By Rohit S

•

Jul 11, 2020

A sufficient coverage of topics to absorb it completely.

By Kapitanov A

•

Jun 5, 2020

The best course on Coursera for Deep Learning engineers!

By Oscar d F

•

Apr 22, 2020

I really loved all the courses, but this one was awesome

By Vaqas E

•

Nov 9, 2019

Amazing project on detecting words in speech recognition

By Shuang G

•

Sep 22, 2019

Very good, RNN, LSTM are carefully explained, thank you!

By Timothy G

•

Jul 14, 2019

Very good course learn so much that I can put it to use.

By Martin A

•

Mar 22, 2019

This was simply awesome - can't wait to build something!

By Aleko K

•

Feb 7, 2019

This course was the biggest experience for me. Excellent

By akash s

•

Oct 2, 2018

Great amount of knowledge and a great platform to study.

By mobwiz

•

Jul 1, 2018

This course is a bit more difficult than the other four.

By Serzhan A

•

May 4, 2018

Another great course by Andrew Ng! Off to build an AI...

By Shuo Y

•

Apr 9, 2018

great course!!! Thanks a million to Andrew and his team.

By Veer A S

•

Mar 21, 2018

Simply an amazing course to learn about sequence models.

By Santiago R A

•

Mar 11, 2018

A unique course full of great applied examples and tips.

By Xin H

•

Feb 27, 2018

Detailed feedbacks on the practicals will be preferable.

By hulihui

•

Feb 5, 2018

very good course! Andrew Ng, absolutely excellent tutor!