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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,852 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!

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 3,621 Reviews for Sequence Models

By Xiao

Mar 8, 2018

Some techniques for keras need to be clarified. Generally a good course

By Jon M

Jul 7, 2021

I liked this particular set of lectures, too, now on to something new.

By Vamvakaris M

Sep 8, 2019

It required coding on keras and tensorflow not appropriate introduced.

By Rafael B d S

Aug 6, 2019

The Course is great! But the programming assignments has too many bugs

By Pete H

Dec 12, 2018

it's very difficult to submit last programming exercise "trigger word"

By Ishan S

Jun 27, 2020

More clarification on what we are doing in the programming exercises

By Emanuel G

Dec 13, 2018

Great introduction to LSTMs, RNNs, GRUs, NLP and speech recognition.

By Nilesh R

Mar 20, 2018

Great content but I felt it was bit rushed and squeezed in 3 weeks .

By Alex M

Mar 14, 2018

The quality was a bit down but still very worthwhile and interesting

By Vivek K

Jul 20, 2018

Great practical experience. Would have preferred a bit more theory.

By Fady B

Jun 1, 2018

it covered a lot of interesting topics but it was a bit high level.

By Alireza S

Jun 18, 2020

great course to understand intuition of sequence modeling for NLP.

By guolianghu

Apr 5, 2020

课程虽然很短,只有三周的课程,但难度明显比之前四门课程要大,编程练习一共有7个,第一周的三个是最难的。但仍然是最优秀的深度学习课程。

By Bobby A

Jul 2, 2019

Well explained, I feel like it could go a bit more in depth though

By Martin T

Feb 13, 2018

Muy buen curso, resulta sumamente estimulante el ejemplo de woebot

By Vikas C

Jun 20, 2019

The good course as the theoretical basis for RNN and other models

By Shilpa S

Mar 18, 2019

Attention Models is not that clear. Everything else is excellent.

By Andres R

Apr 2, 2018

Excellent lectures. Some programming exercises need more clarity.

By Armand L

Apr 28, 2019

Very hard, but not your fault, very good course ! Thank you !!!!

By Julio T T

Sep 28, 2020

Exercises have less quality than the ones in previous courses.

By Josele F

May 29, 2019

El curso esta muy bien peor deben añadir subtitulos en español

By Marisa F

Nov 18, 2018

I think this course needs to have a continuation to go deeper.

By Alex N

Mar 27, 2018

Grader was wrong sometimes. Typos everywhere in the notebooks.

By muhammad A

Nov 15, 2020

awesome, but need more animation for understand general works

By Akshay g

May 14, 2020

Good course but can add more models to get a deep dive in NLP