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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
27,025 ratings
3,212 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.

JS
Jul 12, 2020

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

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3076 - 3100 of 3,208 Reviews for Sequence Models

By Yash R S

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

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

Jul 17, 2018

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

By Nachiketa M

Feb 16, 2018

This course was good but in comparison to the other courses in the deeplearning course series, this course lacked adequate depth.

By 1140325971

Jan 23, 2020

The course is a good course because the lecture Ng.W ,but the exercises is not easy for our beginers for such tools like kears.

By Seng P T P P

Nov 8, 2019

The programming assignments in this course are difficult to implement. The detail descriptions are needed inside the notebooks.

By Thomas N

Mar 9, 2018

Good subject, but a lot of the course material (like lecture slides and problem sets) was either unavailable or out of date.

By Vinjosh V

May 11, 2020

The videos are great - however it would be useful to provide some help on how to implement the concepts programatically.

By Søren M

Feb 16, 2018

Not as good as the previous courses in the series, and some of the assignments where broken, and super hard to debug.

By Laurent B

Jan 12, 2021

Only on NLP applications, it would have been great to apply GRU or LSTM on numerical data like finance for example.

By Devansh K

Sep 20, 2020

The content covered is interesting, but I feel like the explanations are not as intuitive as the previous 4 courses

By Sandeep P

Jul 27, 2020

Nice but little stressful. After completing 5 courses in a row, really feeling exhausted. Thanks for the good work.

By Rudolf S

Jul 15, 2019

Quite a lot of bugs in the first week examples. It took me too much time until I browsed the discussion forums.

By SHALEEN A

Oct 3, 2020

the videos are programming assignments need some serious updates, too many typos and wrong information present

By Maysa M G d M

Jun 25, 2018

I think you have to know more keras than is explained in the course. The keras documentation it is not enough.

By Raghav G

Jul 13, 2020

An average course, it is detailed though some of the ending materials get too difficult for me to comprehend.

By Mikey K

Aug 6, 2018

Assignments are very buggy and instructions misleading or incomplete. However the core material is excellent

By PANKAJ R

May 8, 2018

Require a little depth, considering the complexibility. At least 4 Week course should be their instead of 3

By Gargi V

Feb 7, 2020

There were a lot of issues with the notebook especially, for the week 3. The concepts were well explained.

By Mikko L

Apr 14, 2018

Would have required more of the "intuition" building material. Worst of the 5 course series, but still ok!

By Shengyu H

Feb 6, 2020

Contents are way too easy and the video recordings are often a bit broken (repetition, blank audio, etc.)

By Alexander B

Feb 14, 2018

incredibly boring. I mean at some task you literally asked to type in "= False" instead "= None". Really?

By Jinxi W

Feb 20, 2018

There are some mistakes need to be correct in the assignments. Still a lot of improvements can be made.

By Yao G

Sep 12, 2018

The assignments should be improved. More prep on Keras will help improve the efficiency of learning.

By Kabakov B

Aug 30, 2020

The practical tasks is bad. You are simply needed to rewrite formulas to python most of the time.