Chevron Left
Back to Sequence Models

Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,364 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

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.

MK

Mar 13, 2024

Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects

Filter by:

1426 - 1450 of 3,690 Reviews for Sequence Models

By Hari K

•

Apr 3, 2021

Finally...a course that is challenging enough in this specialization!

By Rajkumar P

•

Jun 17, 2020

Very good course through which I got good knowledge of Deep learning.

By rabeya s l

•

May 10, 2020

I am really thankful to Dr Andrew for such a well constructed course.

By Yang M

•

Apr 12, 2020

Very grateful to Andrew ! Excellent journey ! Great help to the world

By wajih h

•

Aug 26, 2019

it was outstanding experience. I made a living by taking this course.

By Jenhan T

•

Jun 12, 2019

By far the most intuitive explanation of sequence models I have seen.

By Dusan J

•

Mar 8, 2018

Very pleasant introduction to the field of recurrent neural networks!

By Karan S

•

Jul 26, 2024

Most amazing course on one of the complex topics in computer science

By Jehwan K

•

Mar 18, 2024

great course, decent notes and gonna take nlp specialization course.

By Tuan D

•

Feb 28, 2023

It is amazing course for me to improve my knowdlege in Deep Learning

By Hanhong L

•

Dec 1, 2022

The courses explained the key concept in the easy way to understand.

By Min-gyu J

•

Feb 14, 2021

A good introduction to ML for a novice. The course really helped me.

By Eduardo H

•

Dec 29, 2020

It's the hardest course off all the specializaton but it is worth it

By VIJAYARAGHAVAN V

•

Jun 14, 2020

Excellent course, I have learned lot. It's very useful for my career

By Piyush K B

•

Apr 15, 2020

This course has boosted my motivation for working on Sequence Models

By Iris j M

•

Jul 2, 2019

Thanks again to Professor Ng. Super interesting courses. Appreciated

By Zhaiyu C

•

Jan 26, 2019

A bit harder than previous courses. Pretty well organized as always.

By Jeffrey V V

•

Jan 14, 2019

I learned a lot about how to put together recurrent neural networks.

By sunaram p

•

Feb 7, 2018

A very good intro to NLP/Speech Recognition with Deep Learning (RNN)

By J L

•

Sep 6, 2022

Thanks to Andrew for his heartfelt teaching,I have benefited a lot.

By Shaswata D

•

Jun 1, 2020

Good course for understanding and building rnn for sequential data.

By Nazmus S

•

Aug 15, 2019

iPython Notebook kept crushing which was a disappointing experience

By Mark L H

•

May 10, 2018

Nice mix of simple and complext concept plus good exposure to Keras

By David B

•

Mar 12, 2018

Thanks a lot. That was a very good introduction to sequence models.

By car s

•

Feb 23, 2018

Great lecturer. Best explanations to GRU and LSTM I have even seen.