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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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751 - 775 of 3,621 Reviews for Sequence Models

By Daniel W

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Sep 30, 2019

The course really well introduces to the key concepts of machine learning sequence modelling and NLP tasks. Furthermore, it is really up-to-date.

By ishan g

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Jul 8, 2022

it was an excellent course i learned a lot from it also you cant just be dependent on the course itself you have to look for other resources too

By Chenkuan L

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Dec 24, 2020

Very nice course on recurrent neural network and natural language processing using deep learning. Andrew's lectures are both clear and engaging.

By Devavrat S B

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Jun 9, 2020

The course is very good for understanding RNN, GRU, LSTM from basics along with word embedding. Thank you Andrew Ng Sir for such a great course.

By Michel M

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Sep 28, 2019

This module didn't look as prepared than the others. The assignments had far more errors than the others and also the video were less compelling

By Anirudh A

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Sep 1, 2019

Awesome course, taking the student from basics to the advanced level seamlessly. I Really learnt a lot from this. Thanks Andrew Ng and team. :)

By Murad O

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Feb 13, 2018

I find this course much better done and prepared than the course on ConvNets. I also learned much here and found it interesting and educational.

By LK

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May 27, 2022

Very in depth. Couldnt really ask for better intuitions. Wish that they explained some Tensorflow within the lectures instead of just the labs.

By 18IT042 C J

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Jun 23, 2020

This specialisation was very informative, and I learned a lot of things from these courses. Thanks to Coursera and Deeplearning.ai to teach me.

By Fahad S

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Sep 17, 2018

This course teaches relatively advanced courses in a very intuitive manner. The assignments were challenging yet fun. Highly recommended course

By REINALDO L N

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Apr 3, 2018

simplesmente espetacular. São as palavras que eu encontro para descrever toda a sequência de cursos do Andrew Ng. Mas tem que AMAR matemática !

By Jiansen.Zheng

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Feb 14, 2018

Pretty good, for learning recurrent neural network and neural machine translation, and I learned a lot about Keras in the program assignments.

By Sina G

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May 22, 2023

Beautiful course with deep concepts and great presentation. The assignments were challenging and taught me a lot. Overall, I enjoyed it a lot.

By Diego B C d S

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Dec 28, 2020

O curso tem o balanço perfeito entre teoria e prática. Tudo muito completo, mostrando os detalhes para se entender Deep Learning. Muito Bom!!!

By Sadanand M

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Jun 7, 2020

Excellent exercises and assignments! And most importantly, Prof. Andrew Ng's teaching style is superb and has made me quite an admirer of him.

By Bhabani D

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Apr 6, 2020

Clear but concise , Which is really helpful for busy professionals. the course tests are really useful in conveying the message of the course.

By Njabulo

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Aug 23, 2019

I was really hoping this course would focus more on time series data. Still a great course if you are interested in speech recognition and NLP

By Chuck H

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May 23, 2018

Really well taught course. I felt like the programming assignments were too easy. I think its one of the best deep learning courses out there.

By Jimmy I

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Apr 30, 2018

Impressive amount of work to prepare the course material. I enjoy the learning immensely. It saves me a lot of time from reading white papers.

By Tom Z

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Apr 12, 2018

The course is really helpful. The whole series helped me get a sense of what is deep leawrning and how CNN and RNN work in different contexts.

By Tian Y

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Mar 4, 2021

I'm so grateful for NG, cos these courses help me step into DL. If someday I have my own paper, I will come back here to share my happiness.

By Ali D

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Apr 10, 2020

One of the best courses I have taken. The great balance between theory and practice(assignments) is so well done and on point. Thanks Andrew.

By Kritika M

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Aug 6, 2019

It is a really good course which gives you a lot of knowledge about sequence models. It provides a good understanding of the overall concept.

By Awanit R

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Dec 12, 2020

Excellent course and instructors as well as programming exercises and quizzes really thanks to course and course is indeed o=wroth of money.

By Lucas K

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Sep 3, 2019

Thank you for creating and sharing this course! You are an inspiration for me and many people around the world! I wish you the best, thanks!