Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
26,572 ratings
3,138 reviews

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

WK
Mar 13, 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

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.

Filter by:

2701 - 2725 of 3,109 Reviews for Sequence Models

By Osvaldo R

Jul 1, 2020

The practice was more guided than other courses. Felt that the Coursera team did all for me

By Cze H Y

Aug 16, 2018

Perfect course except there are are some mistake/ambiguous instruction in course assignment

By Tshepiso M

Apr 5, 2020

Great course. Would like it if he kept his notation consistent with what is in the papers.

By Sven S

Aug 9, 2019

a lot to learn, content is well presented as usual. one of the assignments requires rework

By 朱涧江

Mar 20, 2018

Seem like not as good as before course,Wait so much time but is not clear as course before

By Sarang P

Nov 17, 2020

Trigger word detection assignment notebook has some bugs. Had a hard time submitting it

By Glorian Y

Oct 30, 2019

There are many bugs in the assignment. Else, the material content and videos are great!

By Ryan B

Mar 19, 2019

Really good but I guess you should teach more about how to apply all these models more.

By Zhe C

Nov 4, 2018

Too many errors are in assignments. Also, Some APIs from Keras are not well explained.

By Ankoor B

Feb 21, 2018

The assignment code instructions (specifically the code comments were very confusing).

By Moustafa S

Jun 22, 2020

it was hard to catch up to all the new stuff, but as a first step, it's not that bad.

By Ming M

Jan 14, 2019

I feel the programming assignments should be revised. I have encountered many errors.

By Hector M

Feb 19, 2018

There were a couple of problems with the grader that made this course less enjoyable.

By Javier L P

Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

By Keith L

Sep 12, 2018

some of the auto graders were a bit buggy, but overall loved the course and material

By bangdasun

Feb 19, 2018

Nice content. Spend some time on homework since I'm not very familiar with keras.

By Yu L

May 21, 2020

coding style is out-of-date. Could the TA update the coding homework regularly?

By Boyu L

Mar 15, 2018

I wish there was a more thorough tutorial on the Keras programming environment.

By Saurabh

Feb 11, 2018

Another awesome course. But I feel Word Embeddings part could have been better.

By Moustapha M A

Mar 14, 2018

A very good course in terms of application , again Dr. Ng did an excellent job

By Umair

Nov 27, 2020

This is amazing course with much more interesting labs and practical examples

By Kevin H

Mar 8, 2019

The course is great but I was hoping to have a part about time series inside.

By Ernesto G d l P

Apr 24, 2021

Few bugs with some jupyter notebook assignments, otherwise ... great course!

By 林昌璟

Dec 27, 2020

It's pretty difficult for me, but I learn a lot of knowledge in this course.

By Keith J

Jul 27, 2020

Great Course on giving an Introduction to RNN and basic NLP architectures !!