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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
26,148 ratings
3,084 reviews

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks 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. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our 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 gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

JY
Oct 29, 2018

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.

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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2576 - 2600 of 3,055 Reviews for Sequence Models

By 王煦中

Feb 3, 2018

I give 4 star because some fomulas are not correct! Though this course is really great. I can not understand why you made mistakes on fomulas.

By Rohit T

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

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 Leung P L

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

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

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 YU Y

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

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

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

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 Heinz D

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 Chuanxiao X

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 Tommy S

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

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

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

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

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

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

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

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

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

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.

By GOURAB G R

Feb 16, 2018

Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.

By Alisa K

Feb 7, 2018

This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.

By Samuel W

Aug 24, 2018

Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.