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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,151 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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2976 - 3000 of 3,502 Reviews for Sequence Models

By Tommy S

Aug 9, 2018

Parts of the critical details are a little vague, but the intuition and experience provided are extremely valuable and useful for me!

By Nisar S

Mar 18, 2018

Found it a bit harder to follow along. I believe this topic needs a more indepth treatment and possibly more time (4 weeks at least).

By Niklas V

Nov 20, 2018

Really good course, but the audio quality (repetitions, periods of silence etc) was decreasing over the course of the specialization

By Allan C M

Apr 18, 2018

The exercises are somewhat tough for this exercise I think the time should be extended by one week extra to complete the assignment.

By Jinfeng X

Nov 29, 2019

The material is great. On the other hand, if we could get a lecture on Keras, it would help us work on the programming assignments.

By Marvin J A

Mar 7, 2020

Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!

By Alexander T

Jan 2, 2019

Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.

By raghuveer n

Feb 18, 2018

Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course

By Sudhir K

Dec 23, 2019

Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.

By Vaibhav C

Feb 20, 2018

Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.

By GOURAB G R

Feb 16, 2018

Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.

By Alisa K

Feb 7, 2018

This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.

By Samuel W

Aug 24, 2018

Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.

By Vanja T

Feb 18, 2018

There were some puzzling parts to the programming assignments (number of trainable parameters), but overall very good course.

By Mollie C

May 13, 2022

this course seemed glitchy compared to previous courses. some multi-answer quiz questions would only allow one answer, etc.

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 AhAli A

Jul 11, 2022

thank you so much for the material. pls do something with assignment of week4 to make it more constructive than confusive.

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 Shubhankar K

Jun 29, 2021

A little much in not so much amount of time. Could have had more videos. Otherwise great course and great course material

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 Vivek H

Mar 19, 2023

Found the embeddings lectures & transformers lectures to be a bit confusing and could give a little bit more explanation

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.