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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
26,704 ratings
3,156 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

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!

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.

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2551 - 2575 of 3,130 Reviews for Sequence Models

By Balazs A

Jan 15, 2019

The material itself is very informative and useful. But I have to give "just" 4 stars because, the training videos have to be edited better and there were a few mistakes in the programing exercises.

By Saureen

Dec 15, 2018

Please work on getting the notebooks to work properly. Also very bummed that after canceling my subscription, I won't have access to my homeworks. You guys should give us lifelong access - we paid!

By Yen-Chung T

Feb 21, 2018

A general overview into the power of sequence models. There is no rigorous mathematics here so most of what students can learn is high-level implementation and intuition about the various models.

By AKUT J R

Aug 16, 2020

Great final module !

General feedback : was expecting an application example other than image, speech recognition such as related to Supply chain management, production planning, pricing etc.

By Ali K

Mar 24, 2020

An appropriate course for getting started with Recurrent Neural Networks and its very applications in the domains of speech recognition, sentiment classification, neural machine translation etc

By AASTHA P

Jun 16, 2020

Overall teaching of Andrew Ng sir is Fabulous, but it was very hectic with the technical problem of the last assignment and I would like to thank Andrew Ng sir for the teaching me this course

By Tina W

Jul 29, 2019

Very useful materials, but a little hard to digest. It will be more helpful if course lectures and slides can dive a little deeper into each model and provide more granular technical details.

By Kaushik D

Jun 17, 2019

Exercises are sometimes vague and can be done without full understanding of the material. No officially given notes. No reading material that explains the concepts more clearly and in detail.

By Rahul P

Sep 28, 2020

One of the best course i ever taken. glad to be part of such wonderful course teach by prof.andrew ng. learn a lot about sequence model and NLP. Highly Highly recommended for beginner in NLP

By Julian R

Feb 17, 2018

Great Course, very insightful excercises, really enjoyed it - unfortunately some issues with the programming excercises.

Since it's the first run of the course they should have fixed it soon.

By Sharvil G

Apr 29, 2020

the course content was really impressive, but some topics need to be explained in detail. Also working of LSTM should be further described in detail. Programming assignments are really fun.

By Bhargav A

Dec 25, 2018

great course, lots of implementation details that are important were glossed over, while other areas had too much hw hand-holding + strict requirements on what the code needed to look like.

By Austin B

Feb 20, 2018

Very glad I took this course! A little rough around the edges as far as video / assignment quality, but seeing that this is the very first run of this course, I know it will only improve.

By Zachary P

Feb 11, 2020

The material was great. Some of the programming assignments ramped up in difficulty or lack of perfect execution. However, I still gained extremely valuable information from this course.

By yang

Oct 1, 2019

The lecture for Sequence model was good motivation to get interesting about text and audio processing. All of lectures were very fundamental and intuitive. Thank you very much. Prof. Ng.

By Tamir B

Feb 26, 2019

Very good and fun course in the sequence. However, it would be very nice if there were some examples of using RNN for things such as self driving etc, outside the realm of speech and NLP

By Tamilarasu S

Feb 16, 2018

The course videos are very good. However the optional parts of assignments have lots of issues and errors. Please update the assignment to reduce the time wasted unnecessarily debugging.

By pierre-henri S

Jun 14, 2019

Very interesting exercice and assignments from which a lot is to learn. Content quite complicated which will require from me to come back for review and deepen some points. Thank you !

By Henrique M

Aug 28, 2018

It was necessary to study extensively the Keras framework to fulfill the code tasks. I suggest an extra module with small simple RNN modeling exercises to better adapt the framework.

By Anthony T

Feb 14, 2018

Overall, I really like this module. One possible improvement might be providing more information for backpropagation. Maybe as an optional video or just reading materials. Thank you.

By Bruno s

Aug 24, 2019

nice course even few chapters could be more detailled technically speaking. However the assignements are very nice and helps to complete the understanding. Many thanks for such work

By DIVYA L K

Sep 6, 2020

Thank you Andrew Ng for making me comfortable with the deep learning topics on Sequential data...Assessments were interesting ..can be made to enable us better play with the models

By Karan S

Oct 11, 2019

Week 2 was wonderful to learn and understand. I wish to explore more on LSTM and Attention based models. Video lectures were not enough for me. Still I am happy for what I learnt.

By yuankun x

Mar 19, 2019

Overall it is a good course. Much need to improve on the feedback of grading of which output is not really helping. Referring to global variables in assignments are really tricky.

By srinivasan v

Feb 28, 2018

Overall a very good course , i wish the model construction ( i.e. the rationale in stacking up the layers) is covered in bit more detail, otherwise an excellent course, no doubt.