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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,203 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

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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!

GS

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So many possibilities will be presented in front of you after this course. The only limit is the boundary of my imagination and creativity, that is how I feel now upon the completion of this course.

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3101 - 3125 of 3,671 Reviews for Sequence Models

By Makito K

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May 25, 2021

Great materials and programming exercises. The programing exercise in week 4 could be improved for the more beginner-friendly style probably.

By Rohit T

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Nov 22, 2018

This one seemed to go through to quickly over the details especially with the word vectors and the LSTM, would have appreciated more examples

By Joris D

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Feb 16, 2018

Very good course, though the assignments towards the end were a little too centered around Keras, which I personally don't care for very much

By Pui L L

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Feb 21, 2018

The instruction of using Keras in the programming assignment is unclear. There are many bugs as well, hence we have versions 1, 2 and 3 etc.

By ruben y q

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Apr 27, 2020

No time series analysis, and some problems in the guidance of some programming tasks. Mainly de first week, the rest of it was pretty good.

By Jean-Michel C

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Jan 12, 2019

Good course. I would suggest to split the first week into 2 weeks, which makes easier to grasp all the concept with a deeper understanding.

By Yizhe

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Jun 24, 2021

Some assignments don't have enough descriptions to help me deeply understand the core concept of the algorithms. Hope it can be improved.

By Yang Y

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Aug 29, 2019

The assignments of this course "Sequence Models" require sufficient knowledge of Keras and Tensorflow, which is not friendly to beginners.

By Dongliang L

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Jun 28, 2019

There are some problems in the code of the assignments, as well as the expected outputs, which costs a lot of time for me to figure out.

By Ahmed N

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Oct 2, 2018

Very Awesome Course i got knowledge about Sequence to Sequence models and how they works in practical software . Thanks to Prof.Andrew.

By Filippo V

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May 19, 2020

Exercises' grader didn't accept all the functions correctly, lose much time searching in the discussion.

Too many corrections in the way

By Aleksander O

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Jul 21, 2022

First three chapters where just great, fourth was very good, but fifth was not very understable and assisgnments were quite annoying.

By Heinz D

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Jul 9, 2020

Great instructor, good and challenging assignments. Thank you!

The grader problem in the Dinosaur Island should be solved once for all.

By Sean x

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Jul 29, 2018

Everything is great except the last assignment - trigger word detection is hard to save and submit, and i can't even open it sometime.

By Carlos D C

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Sep 19, 2021

Great course (except from the last assignment, that was extremely difficult in comparison to other assigments). Totally recomended!!!

By Tommy S

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.