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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
26,568 ratings
3,138 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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3076 - 3100 of 3,109 Reviews for Sequence Models

By David L

Jun 28, 2020

Good lectures. Programming assignments are useless fill-in-the-blank exercises, you don't really learn much from them.

By Thomas A

Oct 10, 2019

The programming assignments really are like pulling teeth. There's not really enough guidance leading up to them.

By Mark

Oct 24, 2018

The course videos and the programming assignments were lacking. And there was no support in the forums.

By Jeffrey S

Jun 2, 2018

Spent more time trying to work around a buggy grader than learning the underlying concepts.

By ZHANPENG T

Oct 23, 2019

Too hard to understand compared to the previous coursed in this specification.

By Hamid A

Nov 13, 2020

Was very difficult. please add more expiation of mathematical equations.

By Sukeesh

Apr 18, 2020

Little unsatisfied with the final part of the specialization.

By Arsh K

Aug 20, 2019

Lack of Keras training made it often hard to do layer code.

By Tom T

Jan 9, 2020

This course needs more instruction on Keras.

By Mark N

Feb 12, 2018

Poor explanation for alot of things

By Milica M

May 10, 2020

boring and uninformative

By João P B D

Jan 4, 2019

Too difficult.

By Martin B

Mar 11, 2018

Needs work.

By Alex L

Mar 5, 2018

I feel sad.

By zhesihuang

Mar 3, 2019

sucks

By Logos

Aug 31, 2020

I have no idea how we're supposed to walk out of these courses with the knowledge of how to build a neural network. The practice exercises are a joke. It's a bunch of functions taken out of context, with "instructions" on how to complete each. I don't understand how to do any of it, and I passed all the quizzes.

This specialization gets good reviews because people love Andrew, and although I'm sure he's a great guy, these courses provide no real practical information on how to build neural networks from scratch. I don't even know where to begin, and at this point I'm just copying solutions from the internet to complete the projects so I can just get my completion certificate.

I only recommend taking this from a theoretical perspective. If you're looking to get started with deep learning from a practical standpoint, look elsewhere. This isn't worth it.

By Aldiyar K

Mar 12, 2021

Oversimplifying material, such as not showing any math foundations and proofs, does not lead to an intrinsic understanding of the material as well as fill-the-gap assignments do not enhance comprehension.

I understand that the course is intended for the broad audience but will one be able to implement those Keras and TensorFlow algorithms on a moderately complex problem, which is the ultimate goal of these courses? Highly doubt it because the code is pre-written for students and step-by-step guide is provided. In my opinion, one could go straight to assignments and induct / deduct the answers.

By Venkata D R S

Oct 19, 2020

I love Dr. Andrew, I seriously do. He has inspired me in the field of Deep Learning like no one else did. But I detest how this course is made so expensive and in a wrong direction. I subscribed and paid $225 and I still was not given a decent amount of time to finish the course, even when I asked for extension. If this is the way these courses are, its better of learning from youtube. It is not worth the money

By Franjo I

May 10, 2020

Dry and uninformative. Immense space for improvement. Corrections should be made to videos instead of having numerous revisions comments after lecture. Some variables introduced haphazardly. Notation not explained well, some clashing with linear algebra conventions. Coding exercises are elementary hyper guided.

By Krishnamurthy N

Apr 2, 2021

Grader is the worst and no help even in the forums inspite of getting the same output the grader is still failing and no one is telling why. Forced to drop out of this course now

By Inaki O d L

Apr 7, 2021

Clearly the less structured and more confusing Course within the DeepLearning Specialization, a bittersweet end to an otherwise great set of courses. Quite disappointed.

By Deleted A

Sep 8, 2020

I would like to abandon this course and stop paying for a course I want to prepare better before maybe launching a new attempt..

By Hasan A

Mar 1, 2018

many ideas where not clear and more application use cases needed.

By Girish S

Dec 1, 2020

Can't even see the programming assignments without paying money.

By srinivas a

Mar 24, 2020

Not practical, Assignments can drain your energy.