Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
27,123 ratings
3,230 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.

SS
Jan 1, 2020

Learnt a lot about new concepts in RNN and LSTM. Really wanted to learn about these models. This course helped a lot. Everything was new and so fascinating. Loved this course and our teach Andrew NG.

Filter by:

2876 - 2900 of 3,225 Reviews for Sequence Models

By Alvaro C

Jul 29, 2019

Much harder than previous ones, but also really interesting.

By Jedrzej P

Apr 29, 2018

Would have liked an example outside of nlp, otherwise awsome

By Anand B

Aug 20, 2018

Content is little less intuitive compared to other courses.

By Anugna R

Jul 15, 2020

codes are too long and it is taking time for codes to run

By Hassan E

Mar 2, 2019

Greeeeeeeeeeeeeeeat but less than the first four courses.

By KIT M C

Nov 13, 2019

The program in the exercise is a bit hard to understand.

By Galvin W

Feb 23, 2018

Good when it came. Annoying for the 2 month launch delay

By David N

Apr 26, 2020

i'd like to have applications more suited to real world

By Vikas K

Mar 31, 2019

it would have been better if he used more visualization

By Jarosław G

Jan 21, 2019

There were a lot of problems with notebook task grader.

By Nick J

Mar 11, 2018

Great course, but too many mistakes in the assignments.

By kasun s K

Sep 19, 2021

t​hank you for this. this give good knowaledge for me

By Aloys N

Oct 22, 2019

Good content, it would have been good to do more keras

By Rakesh k k

Feb 22, 2021

Really Nice course to get basic understanding of NLP.

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.