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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,853 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.

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.

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3176 - 3200 of 3,621 Reviews for Sequence Models

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.

By Philippe T

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Oct 29, 2018

More exemple than Only NLP would have been nice ! But overall a great course

By Emanuel V

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Apr 2, 2018

This is a good course. However, this topic deserves much more detailed work.

By Huaqing M

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Dec 27, 2022

The week4 on transformer is rushed and rough. Overall ,it's a good course.

By Andrea C

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Aug 29, 2021

The most difficult of the series. Yet I enjoyed learning so many new things

By J V

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Apr 24, 2020

Great Content with real-time example looking forward to doing more courses

By Andrius T

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Nov 2, 2019

Please remove repetitions from videos, really annoying thing. Great job :)

By Luca C

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Oct 13, 2019

Awesome notebooks to gain practical experience with deep learning systems.

By Philippe A

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Oct 21, 2018

This course is very interesting! Again! It requires basic Keras knowlegde.

By Lawrence K

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Jan 4, 2024

the last week on transformers was confusion both as intuition and process

By EZ

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Feb 18, 2018

Course is excellent. Assignment, however, could use some more refinement.

By Sahar N

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Sep 23, 2022

It was really good, but I think I still didn't understand transformers!

By Attili S

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Aug 12, 2020

It would be good to extend some more detailed explanation in this course

By Sebastian M

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Apr 7, 2019

need some reviewing in the optional parts of the programming assignments

By Guan W

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Mar 10, 2018

Excellent course content, but poor maintenance of programming assignment

By Filip V

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Feb 25, 2018

Provides good exposure to sequence models for NLP and speech processing.

By Xirui Z

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Apr 7, 2021

Instructions for labs are not clear enough, especially the layers part.

By Mandeep S G

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Jan 25, 2020

Great exercises but videos were slightly rushed. Overall a good course.

By Vinod C

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Apr 29, 2019

Good course. Feel a little bit rushed. Difficult to retain the concepts

By Chen L

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Mar 14, 2018

The content is great, but the programming exercises are full of errors.