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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,411 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

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.

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!

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3226 - 3250 of 3,697 Reviews for Sequence Models

By Yuping Y

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Mar 15, 2023

good course. Especially good in explaining the reasons and thoughts behind the algorithms

By Sarang P

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Nov 17, 2020

Trigger word detection assignment notebook has some bugs. Had a hard time submitting it

By Glorian Y

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Oct 30, 2019

There are many bugs in the assignment. Else, the material content and videos are great!

By Ryan B

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Mar 19, 2019

Really good but I guess you should teach more about how to apply all these models more.

By Mabisanga D J

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Nov 20, 2022

The course was really straightforward, but the assignment hits was not really helpful.

By Sig I

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May 17, 2022

Decent introduction but the material presented needs more time and training to absorb.

By Zhe C

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Nov 4, 2018

Too many errors are in assignments. Also, Some APIs from Keras are not well explained.

By Ankoor B

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Feb 21, 2018

The assignment code instructions (specifically the code comments were very confusing).

By Moustafa S

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Jun 22, 2020

it was hard to catch up to all the new stuff, but as a first step, it's not that bad.

By Ming M

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Jan 14, 2019

I feel the programming assignments should be revised. I have encountered many errors.

By Hector M

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Feb 19, 2018

There were a couple of problems with the grader that made this course less enjoyable.

By Deleted A

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Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

By Keith L

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Sep 12, 2018

some of the auto graders were a bit buggy, but overall loved the course and material

By bangdasun

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Feb 19, 2018

Nice content. Spend some time on homework since I'm not very familiar with keras.

By Yu L

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May 21, 2020

coding style is out-of-date. Could the TA update the coding homework regularly?

By Boyu L

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Mar 15, 2018

I wish there was a more thorough tutorial on the Keras programming environment.

By Saurabh

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Feb 11, 2018

Another awesome course. But I feel Word Embeddings part could have been better.

By Marcantonio M A

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Mar 14, 2018

A very good course in terms of application , again Dr. Ng did an excellent job

By Umair

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Nov 27, 2020

This is amazing course with much more interesting labs and practical examples

By Kevin H

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Mar 8, 2019

The course is great but I was hoping to have a part about time series inside.

By Ernesto G d l P

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Apr 24, 2021

Few bugs with some jupyter notebook assignments, otherwise ... great course!

By Henry L

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Dec 27, 2020

It's pretty difficult for me, but I learn a lot of knowledge in this course.

By Keith J

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Jul 27, 2020

Great Course on giving an Introduction to RNN and basic NLP architectures !!

By Yogesh J

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May 26, 2020

Please allow students to complete assignment from scratch. Without any help.

By Saydee

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Jun 28, 2019

A lot of spoonfeeding. Stuck at optional exercises and a lot of wasted time.