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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,443 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

MK

Mar 13, 2024

Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects

JY

Oct 29, 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.

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3201 - 3225 of 3,705 Reviews for Sequence Models

By Tung V t

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Nov 28, 2021

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

By Akash S

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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

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May 20, 2018

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

By Kiran S

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Feb 4, 2019

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

By Brandon C

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Dec 11, 2018

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

By Paul H C

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Nov 19, 2018

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

By Sharon M

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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

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Jan 29, 2019

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

By Alex K

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Mar 15, 2022

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

By Fab

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Jun 4, 2020

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

By Zhiliang W

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Jan 25, 2019

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

By Toma T

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Nov 15, 2023

Good course. The lesson on transformer needs to get better, be more logical with more explanations.

By Jessica

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Aug 24, 2020

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

By Zhao C

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Apr 19, 2019

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

By Amiya M

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Oct 21, 2018

learned a lot but I wish their should be some sort of referencing material for further exploration

By Patrick B

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Nov 8, 2024

Lectures were very insightful. Assignments were not as strong. Final week on XFormers was rushed.

By Alex R

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Feb 25, 2019

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

By MD Q A

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Apr 9, 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

By Sooraj M S

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May 13, 2018

The Attention model still needs more explanation. I haven't completely grasped attention models

By Jon-pierre H

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Feb 27, 2018

More errors than most in the projects. Likely due to the rush of getting this final course out

By Lee H H J

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Jun 13, 2020

Very good course, informative and easy to follow. Only problem I had is with its auto grader.

By Nojus D

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Jul 12, 2020

Really good course but compared to others optional assigments lack instructions in this one.

By Alex F

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Apr 7, 2019

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

By Phuong-Khanh H

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Aug 22, 2018

The course is of high quality. However, it is not as good and clear as the previous courses.

By Wes H

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Apr 15, 2018

Content needs a few improvements in quality but otherwise a valuable and instructive course.