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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,170 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

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!

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.

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2951 - 2975 of 3,505 Reviews for Sequence Models

By Michael S

Jul 12, 2018

Really good course, like the others. A bit too black box in some of the programming exercises, so I expect to struggle when developing my own models.

By Ethan X

Apr 10, 2018

The videos are really informative and well structured. However, the exams felt like Keras tests. A detailed Keras tutorial would have been helpful.

By Takeo S

Mar 28, 2019

It was great course,

I wish we have more speech recognition contents

Hope, you add new course a bit focus on audio/speech recognition etc

Thank you!

By Alex E

Jan 3, 2023

The only reason I'm not giving it a 5 is the course 5 week 4 coding assignment. See my comments in response to post by @marcus-waldman for detail

By Ara B

Dec 31, 2019

too much content and not much chance to exercise. I will suggest for more frequently and smaller programming assignments through out the course!

By Rodrigo N S

Feb 17, 2021

Outstanding course, but the end of it uses many architectures not fully explained (GRU and such). Incredible course and specialization, though!

By Reda M

Oct 19, 2020

Excellent course, but I would have liked to work on predictive maintenance examples leveraging RNN and LSTM networks. Big thanks to whole team.

By Nishant B

Aug 11, 2019

The course is nicely designed and every topic is explained in a very lucid manner by Andrew Ng. Must be done as a beginner in sequence models.

By Suraj S J

May 20, 2019

Simplified content delivered in just the right way to give a perfect intuition of the complex concepts. Really enjoyed doing the whole course.

By Harry T

Jan 17, 2019

Great content, but Andrew often starts his phrases then restarts saying them. Audio could use some cleanup, then this course would be perfect!

By Yunhua J

Jun 11, 2018

Most optional assignments contain bugs/errors. Other than that, this is a great course, just as the 4 other courses in this specialist series.

By 王煦中

Feb 3, 2018

I give 4 star because some fomulas are not correct! Though this course is really great. I can not understand why you made mistakes on fomulas.

By Makito K

May 25, 2021

Great materials and programming exercises. The programing exercise in week 4 could be improved for the more beginner-friendly style probably.

By Rohit T

Nov 22, 2018

This one seemed to go through to quickly over the details especially with the word vectors and the LSTM, would have appreciated more examples

By Joris D

Feb 16, 2018

Very good course, though the assignments towards the end were a little too centered around Keras, which I personally don't care for very much

By Pui L L

Feb 21, 2018

The instruction of using Keras in the programming assignment is unclear. There are many bugs as well, hence we have versions 1, 2 and 3 etc.

By ruben y q

Apr 27, 2020

No time series analysis, and some problems in the guidance of some programming tasks. Mainly de first week, the rest of it was pretty good.

By Jean-Michel C

Jan 12, 2019

Good course. I would suggest to split the first week into 2 weeks, which makes easier to grasp all the concept with a deeper understanding.

By Yizhe

Jun 24, 2021

Some assignments don't have enough descriptions to help me deeply understand the core concept of the algorithms. Hope it can be improved.

By YU Y

Aug 29, 2019

The assignments of this course "Sequence Models" require sufficient knowledge of Keras and Tensorflow, which is not friendly to beginners.

By Dongliang L

Jun 28, 2019

There are some problems in the code of the assignments, as well as the expected outputs, which costs a lot of time for me to figure out.

By Ahmed N

Oct 2, 2018

Very Awesome Course i got knowledge about Sequence to Sequence models and how they works in practical software . Thanks to Prof.Andrew.

By Filippo V

May 19, 2020

Exercises' grader didn't accept all the functions correctly, lose much time searching in the discussion.

Too many corrections in the way

By Aleksander O

Jul 21, 2022

First three chapters where just great, fourth was very good, but fifth was not very understable and assisgnments were quite annoying.

By Heinz D

Jul 9, 2020

Great instructor, good and challenging assignments. Thank you!

The grader problem in the Dinosaur Island should be solved once for all.