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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
25,880 ratings
3,047 reviews

About the Course

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....

Top reviews

WK
Mar 13, 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks 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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2651 - 2675 of 3,020 Reviews for Sequence Models

By Philippe T

Oct 28, 2018

More exemple than Only NLP would have been nice ! But overall a great course

By Emanuel V

Apr 2, 2018

This is a good course. However, this topic deserves much more detailed work.

By J V

Apr 24, 2020

Great Content with real-time example looking forward to doing more courses

By Andrius T

Nov 2, 2019

Please remove repetitions from videos, really annoying thing. Great job :)

By Luca C

Oct 13, 2019

Awesome notebooks to gain practical experience with deep learning systems.

By Philippe A

Oct 21, 2018

This course is very interesting! Again! It requires basic Keras knowlegde.

By EZ

Feb 18, 2018

Course is excellent. Assignment, however, could use some more refinement.

By Attili S

Aug 12, 2020

It would be good to extend some more detailed explanation in this course

By Sebastian M

Apr 7, 2019

need some reviewing in the optional parts of the programming assignments

By Guan W

Mar 10, 2018

Excellent course content, but poor maintenance of programming assignment

By Filip V

Feb 25, 2018

Provides good exposure to sequence models for NLP and speech processing.

By Mandeep S G

Jan 25, 2020

Great exercises but videos were slightly rushed. Overall a good course.

By Vinod C

Apr 28, 2019

Good course. Feel a little bit rushed. Difficult to retain the concepts

By Chen L

Mar 14, 2018

The content is great, but the programming exercises are full of errors.

By Xiao

Mar 8, 2018

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

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 Gorden

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 19, 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.