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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
27,357 ratings
3,266 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

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.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

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2926 - 2950 of 3,265 Reviews for Sequence Models

By 吴科炜

Feb 16, 2021

Trigger word detection: submit homework is so hard...

By Johannes J

Jun 27, 2019

Great insights, helpful notebooks, good explanations.

By Karol K

Feb 26, 2018

Again, programming assignment should work flawlessly!

By Roberto G

Apr 5, 2020

un poco lentos los ejercicios y repetitivos comandos

By Saurabh P

Feb 17, 2018

Very good introduction to RNNs and their variations.

By Jetro G K

Jul 24, 2018

Muy difícil en comparación con los demás anteriores

By Kamran K

Apr 11, 2021

I would prefer to be the student of Sir Andrew Ng.

By 阿刘

Aug 6, 2020

这节课主要还是以入门为主,没有讲太多理论知识,序列模型部分讲解跳跃性较大,需要结合更多资料去仔细研究

By Minh N

Jan 4, 2020

Too much details! Too little time. More exercises!

By Igor R

Apr 20, 2018

Excellent content, the auto-grader not so awesome.

By Andriyanto H

Apr 18, 2018

Very good course but can be too rushing sometimes.

By Omar H G

Jul 22, 2021

Great course

The last 2 weeks are the hardest ones

By Syed S

Feb 1, 2020

A little too difficult to understand from scratch

By ANDREW ( G

Jan 20, 2020

A little bit less quality than the previous ones.

By Hemanth M

Jul 31, 2019

More programming examples/exercises would be good

By tusheng w

Apr 18, 2018

useful to familiar with RNN, GRU, LSTM and so on.

By SuperChen

Feb 12, 2018

Exercises are a bit tough and misunderstanding...

By Wan N

Apr 15, 2020

It will be nice if the videos are more detailed.

By Marco M

May 17, 2018

The course was really interesting and well done

By David L

Jun 4, 2019

One task has a bug and impossible to complete.

By Chen L

Apr 6, 2018

hope there are more projects about time series

By Erick Z

May 18, 2019

The programming assingments have some errors.

By Mohit K

Jul 4, 2018

Amazing Course with Awesome practice problems

By Jayadev H

Mar 3, 2018

not as fun as CNN course but still so useful!

By Ray

Apr 18, 2020

a little bit too hard for the sequence model