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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,443 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!

MK

Mar 13, 2024

Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects

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3526 - 3550 of 3,705 Reviews for Sequence Models

By Aditya D

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Aug 24, 2020

This was the most difficult to understand course in the whole specialization. Would have enjoyed more if the course material was a little more spaced and elaborated on.

By Дмитрий П

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Apr 9, 2018

Practical Assignments with Keras wasn't motivating. I spend more time to deep into the Keras rather than into the course topic. I prefer them to be using TF or Python.

By Jingxin X

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Jun 11, 2018

The supports in keras programming was so poor, that I could not quite understand each step. And the server was horrible, always got 405 response when saving my codes.

By Joseph G B

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Jun 9, 2020

This course should be broken into 4 weeks and spend more time building skills with Keras. The number of hours listed next to each assignment is unrealistically low.

By 赵凌乔

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Sep 20, 2019

The lecture was great but the errors in the programming assignment (especially in formal-typed formulas) really wasted a lot of time and make me confusing at first.

By Sebastian S

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Mar 14, 2019

The ideas presented here were clear, however I found the programming assignments non-intuitive and not practical. I spent on them way more time than I wish i had.

By Fernando A G

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Jul 27, 2018

I enjoyed all the courses, from my personal point of view this course was not that fun as the other courses. Except for the trigger assignment it was awesome!

By Zhao H

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Jul 6, 2018

Too much was given in external python code for the first week's assignment (that should be learnt by us): not a good thing for us to gain a good understanding

By Matias A

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Aug 11, 2020

Worst course of the specialization, content is interesting and Andrew keeps explaining really well but programming assignments are clearly of a lower quality

By Max W

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Sep 7, 2018

The course is great but the tasks in Keras are too complex without background knowledge. Therefore, a reasonable introduction in Keras would be desirable.

By Eymard P

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Jul 31, 2018

Far less detailed than the other ones. The programming assignements are less interesting too, as a great part of the work consist of reading documentation

By Reetu H

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Dec 23, 2019

There were lot of bugs in the assignments taking up lot of time to fix. The course was okay, I liked the other courses in the specialization more.

By Kaupo V

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May 7, 2018

The Keras programming exercises are quite weak. Please re-think how to teach them more systematically. Currently it is quite a lot of hit and miss.

By Antoni A

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Feb 4, 2024

The course content is very interesting, but the lectures are difficult to follow. The notation is unclear, and the key details are not explained.

By Prut S

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Aug 15, 2021

The lectures were great, but the programming assignments could have been structured better, especially the final assignment which drove me nuts.

By Assa E

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Feb 10, 2021

That was much harder than the previous courses of the specialization. However it felt like the videos are more hasty and less understoodable

By Leandro A

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Mar 18, 2018

There was a bug in a programming assignment notebook that took too much time to notice that i was doing ok but the expected ouptut was wrong

By David H P

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Apr 2, 2018

The programming assignments required some extra effort to understand Keras which I thought may need an introduction video like tensorflow.

By Iván V P

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Feb 18, 2018

Several grader issues, only 3 weeks of work, and a lot of errors in the solutions... In addition, less content than in the other courses...

By Rishabh G

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Sep 19, 2020

The earlier courses were easy to understand, however, this was way too difficult. Andrew Ng did not make this easy like the other courses.

By Simon Y

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Aug 24, 2018

Compared with previous courses, this one seems to be rushed. The focus on applications seems to be much higher than the theoretic side.

By Yash R S

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May 9, 2018

Not as great as the other courses in the specialisation. The assignments can be a little off putting, but lectures are top class again.

By Roberto S

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May 12, 2020

Week 1 took double time to be completed. Times proposed for the assingnement are underestimated.

Please readjust the assingement time.

By Ankit S

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Jul 17, 2018

Assignments are not up t the mark.. Expected to have high vocabulary size word embedding assignment, Machine Translation assignments

By Lars F

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May 10, 2024

The theory part was great as always. Compared to the first 4 courses the labs were not that good and some of them very confusing.