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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,883 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.

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

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1276 - 1300 of 3,625 Reviews for Sequence Models

By Yash k

May 27, 2018

Difficult things explained in a simple way. That's what make this course awesome

By 桉恺 梁

Mar 16, 2018

The most interesting one! A lot of implements of model in real world. Excellent!

By suresh s

Apr 22, 2023

Please give more intuition and examples. Sequence models need much more detail.

By Fazyl Y

Jul 27, 2022

This course is amazing! I learned so far materials that I'll use in the future.

By Pasan J

Oct 9, 2021

Professor andrew is an amazing instructor! I started my ML/DS journey with him!

By 지정후

Jul 7, 2021

It was really a brilliant course with fun and helpful lectures and assignments!

By Ajin J

Aug 21, 2020

Excellent course,well organised, Best ever learning platform I have ever seen.

By zhanat n

Jun 7, 2020

This course was really helpful for me to understand Neural Networks, thank you!

By Hugo T K

Jan 27, 2020

The exercises were very entertaining and Andrew Yang is an excellent professor.

By Ghicheon L

Apr 1, 2018

very good! I could've learned the state-of-the-art deep learning technologies!

By Ievgenii K

Feb 20, 2018

excellent course! it could have more practice but good enough as quick overview

By Ivan K

Dec 18, 2023

Proven way to lay a solid and up to date foundation of Deep Learning knowledge

By Yunbo L

Jun 12, 2022

I think it's the most difficult course of the spicialization, but I got a lot。

By Annabelle N

Nov 30, 2020

Thank you Andrew Ng and the team behind these deep learning courses! Love them

By Ari W R

Aug 24, 2020

What a excellent course is this! It is very clear for the material. Thank you!

By Tito M

Jul 26, 2020

Excellent delivery and assignments. Dr Ng got everything right in the courses.

By Manish S

Jul 15, 2020

Thank You Coursera and capgemini giving an opportunity to learn Sequence model

By Takshshila R

Jun 20, 2020

Learned the various NLP techniques and also implement them in the assignments.

By Mohammad F

May 29, 2020

This is a great course and Wonderfull specialization. I learned a lot. Thanks!

By gayatri l

Jan 30, 2020

Gained some experience and insights to train models have fun.TRAIN,TEST,REPEAT

By Tim W

Jan 21, 2020

Thank professor Andrew No for the courses. Wish to have more courses from him.

By Alex K

Oct 14, 2019

Very good course, with a lot of useful and interesting topics in Deep Learning

By Vu N M

Oct 25, 2018

The more data you have, the more power of you in this sequences neural network

By Shuai W

Jun 2, 2018

Again, the state-of-the-art techniques are easily learned from Andrew's class.

By Adrian L

Mar 21, 2018

Excellent class that explains very well how audio processing is done using RNN