Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,749 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

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.

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.

Filter by:

3376 - 3400 of 3,765 Reviews for Sequence Models

By Karol K

‱

Feb 26, 2018

Again, programming assignment should work flawlessly!

By Tisha

‱

Oct 25, 2022

Great course to understand sequence models and NLP.

By Roberto G

‱

Apr 6, 2020

un poco lentos los ejercicios y repetitivos comandos

By Saurabh P

‱

Feb 17, 2018

Very good introduction to RNNs and their variations.

By Luke R

‱

May 5, 2022

Great professional-level instruction and exercises.

By Jetro G

‱

Jul 24, 2018

Muy difĂ­cil en comparaciĂłn con los demĂĄs anteriores

By Giri T

‱

Nov 5, 2022

This is pretty involved - especially the last week

By Kamran K

‱

Apr 11, 2021

I would prefer to be the student of Sir Andrew Ng.

By 阿战

‱

Aug 7, 2020

èż™èŠ‚èŻŸäž»èŠèż˜æ˜Żä»„ć…„é—šäžș䞻æČĄæœ‰èźČć€Ș怚理èźșçŸ„èŻ†ïŒŒćșćˆ—æšĄćž‹éƒšćˆ†èźČè§Łè·łè·ƒæ€§èŸƒć€§ïŒŒéœ€èŠç»“ćˆæ›Žć€šè”„æ–™ćŽ»ä»”ç»†ç ”ç©¶

By Minh N

‱

Jan 5, 2020

Too much details! Too little time. More exercises!

By Igor R

‱

Apr 20, 2018

Excellent content, the auto-grader not so awesome.

By Andriyanto H

‱

Apr 18, 2018

Very good course but can be too rushing sometimes.

By Omar H G

‱

Jul 23, 2021

Great course

The last 2 weeks are the hardest ones

By Syed S

‱

Feb 1, 2020

A little too difficult to understand from scratch

By ANDREW ( G

‱

Jan 21, 2020

A little bit less quality than the previous ones.

By Hemanth M

‱

Jul 31, 2019

More programming examples/exercises would be good

By tusheng w

‱

Apr 18, 2018

useful to familiar with RNN, GRU, LSTM and so on.

By Jessie C

‱

Feb 12, 2018

Exercises are a bit tough and misunderstanding...

By aditya r K

‱

Feb 29, 2024

Very good teaching and practice much appreciated

By Wan N

‱

Apr 15, 2020

It will be nice if the videos are more detailed.

By Marco M

‱

May 17, 2018

The course was really interesting and well done

By David L

‱

Jun 4, 2019

One task has a bug and impossible to complete.

By Chen L

‱

Apr 6, 2018

hope there are more projects about time series

By Erick Z

‱

May 18, 2019

The programming assingments have some errors.

By Mohit k

‱

Jul 4, 2018

Amazing Course with Awesome practice problems