Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
28,085 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.

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.

Filter by:

3276 - 3300 of 3,368 Reviews for Sequence Models

By Prateek S

Apr 22, 2020

Good Course but lectures and assignments could have been better.

By bernd e

Mar 10, 2018

Should be five weeks instead of three. Dive deeper into Details

By Rohan L

Nov 15, 2021

lecture videos were good but in assignments let us code more.

By Ar-Em J L

Oct 30, 2019

One of the weaker courses in the specialization. Felt rushed.

By Danilo G F R

Feb 5, 2018

Assigments too complicate without a necessary guide and help.

By Morgan H

Nov 15, 2020

Less clear instruction than other courses in specialization

By André T D S

Oct 1, 2018

Bugs in the programming assignments grading kills the flow

By Sri R

Dec 7, 2020

This course is not satisfactory than the previous courses

By Rajarshi K

May 30, 2020

This course was comparatively boring than previous 4 ones

By Santosh B

Feb 19, 2019

I felt the last week had too many things packed together

By Shrishty C

Jul 6, 2018

Was little hard to understand at times. But it was good.

By Konpat P

Feb 16, 2018

Not as well done as before. But, still very informative.

By Edoardo B

Nov 15, 2019

Doesn't teach much about keras which is sorely needed

By Rajesh R

Feb 25, 2018

GRUs are poorly explained. Unable to get past Week 1.

By Duberney L R

Jul 30, 2022

Se deben mejorar las presenaciones y los subtítulos

By Deleted A

Jul 19, 2020

a bit outdated due to lstm being not that s-o-a now

By karishma d

Jun 20, 2019

very basic ..would have wanted much advance level .

By Saumya T

Jun 9, 2019

Codes are not explained. Some codes files are given

By Sravan

Apr 19, 2019

Works as a primer. Assignments aren't that great.

By Jerry Z T

Aug 18, 2020

The learning embedding part is kindof confusing

By Prashath M

Dec 29, 2020

Excellent content

poor support from the website

By Abhishek S

Jun 15, 2020

Great course but has been dumbed down too much

By Yue E

Apr 26, 2019

Esperaba que los ejemplos fueran de otra forma

By Jazz

Oct 10, 2019

Should add some instruction videos of Keras

By Shanger L

Jun 4, 2018

does HW created/reviewed by different ones?