Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,068 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.

WK

Mar 13, 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks a lot!

Filter by:

3001 - 3025 of 3,484 Reviews for Sequence Models

By Nikhlesh P

Aug 17, 2020

Text Processing exercises should be added. Most of the examples are from image and speech. Overall good experience.

By Sachin k

Jul 8, 2019

Great Course. But could improve on explanation part. And could teach more about architectures such as LSTM and GRU.

By Tianpei X

Feb 13, 2018

Great course ! However, there are several errors in the project assignments and it has been delayed for two months.

By Cameron W

Sep 16, 2019

I felt like important concepts were glossed over far more in this course than previous courses in this curriculum.

By Pengfei J

Feb 22, 2018

The update and correction of error should be more effectively and actively managed. That's the only error so far.

By Yufeng S

Oct 29, 2022

Everything is good, except the last week's material needs more explanation to avoid confusion and frustration.

By Andres F O J

Aug 29, 2020

The assignments should be after each topic or lecture because in the end is difficult to enhance the knowledge.

By Claus E

Apr 29, 2020

Good course, but the errors in the last exercise was annoying and I missed a bit more about speech recognition.

By Adam

Apr 11, 2020

Only complaint is that the exercises are too easy when all answers are practically given in the hints section.

By Jan Z

Feb 23, 2018

Interesting topics but some fairly frustrating assignments. Happy to get a better understanding of NLP though!

By Abdoulaye

Jun 14, 2020

Super excited to finish this course. I've tone of questions not answered in forums I'm still waiting answers.

By Paulami D

Mar 12, 2018

This was the toughest one of the 5. Great learning, but may be it could've been made a tad bit more intuitive

By Tung V t

Nov 28, 2021

the course is very comprehensive however more details about how backpropagation is done would be great !!!

By S A

Jul 2, 2018

The quiz section needs to improve. It would be helpful that notes be also given as an outline of the ppts.

By Aleksandar B

May 20, 2018

A bit too much material without going in depth anywhere. Also, code-grader sometimes behaves very strange

By Kiran S

Feb 4, 2019

Some inconsistencies with the HW level (week 2 basically told you what to write) but very good lectures.

By Brandon C

Dec 11, 2018

Keras exercises tough to get through based on provided information, but the content was superb as always

By Paul H C

Nov 19, 2018

Really good course. Exercises are not always connected to the core of the deep learning problem though..

By Sharon M

Sep 19, 2019

The course is great , in the assignments it is better to stick to single package and TF is preferable.

By Jorge L G

Jan 29, 2019

Highly recommended course to understand the concept of speech recognition models, very real use cases.

By Alex K

Mar 15, 2022

Great lectures, but "fill-in-blanks-and-rewrite-math-formula-using-python" assignments were annoying

By Fabrizio B

Jun 4, 2020

Very good course. Only, sometimes a bit more cryptic respect to the other ones in the specialization

By Zhiliang W

Jan 25, 2019

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

By Jessica

Aug 24, 2020

Some concepts need to be explained more detailed, otherwise I feel hard to keep up with the lecture

By Zhao C

Apr 19, 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.