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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
26,596 ratings
3,144 reviews

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.

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!

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2651 - 2675 of 3,116 Reviews for Sequence Models

By Amit R B

Jan 28, 2020

Excellent course overall, but the programming assignments left me feeling a it unprepared considering the previous lectures.

By Siddharth

May 27, 2020

Very nicely explained and grateful for that. However, The assignements are little hard to follow from the previous courses.

By Joachim A

Dec 21, 2018

I am grateful for this course, it literally is redefining my career and what I want to do. Thanks for the excellent course!

By Marijan S

Apr 9, 2020

Some excercizes were subpar, and some were not interesting, but all in all very good course in which one can learn so much

By vamsi v

Oct 6, 2019

assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.

By Himanshu A

Sep 28, 2018

Good introduction to RNNs, text/music generation, NLP etc.

Very comprehensible for intermediates and even beginners in ML.

By Qiang C

Feb 26, 2018

The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.

By Anxo T A

Nov 22, 2020

Great course, specially the programming assignments, they help much mor than the videos to undertand the core concepts.

By Holman B

Mar 15, 2019

Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working

By Anand S

May 7, 2020

I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.

By Marcin K

Sep 30, 2019

Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.

By Naveen K m

Jul 7, 2019

Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.

By Agustín D

Apr 10, 2018

Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.

By Paulo S

Mar 8, 2018

Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.

By Jérémy M

Jun 6, 2020

Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)

By Niranjan K

Apr 28, 2020

Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing

By Li P Z

Jan 2, 2020

Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...

By vincent p

Oct 16, 2019

Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.

By Václav R

Aug 5, 2019

Nice intro in recurrent neural networks.

I'd prefer more focus on why the architectures are designed the way they are.

By Scott R

Mar 16, 2018

I would have liked to have had an assignment covering beam search but overall it was excellent introduction to RNNs.

By Lin Y

Mar 14, 2018

overall it's great, but I think this course is a little bit high level on RNNs, I expected more content on GRU/LSTM.

By Andrey S

Feb 20, 2018

Great course but it took them forever to finally open it.

The course also has issues with submitting last assignment.

By NIKHLESH P

Aug 17, 2020

Text Processing exercises should be added. Most of the examples are from image and speech. Overall good experience.

By Sachin k

Jul 8, 2019

Great Course. But could improve on explanation part. And could teach more about architectures such as LSTM and GRU.

By Tianpei X

Feb 13, 2018

Great course ! However, there are several errors in the project assignments and it has been delayed for two months.