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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,414 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.

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.

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751 - 775 of 3,697 Reviews for Sequence Models

By Aishwarya R

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May 7, 2019

Excellent course. RNN is a complicated topic which has been taught so easily. Thank you Professor Andrew Ng. Loved every programming exercises too.

By Alberto G

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Sep 29, 2018

Very good quality course taught by Professor Andrew Ng. You will learn the basics to master Deep Learning Sequence Models using Keras / TensorFlow.

By Du L

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Mar 3, 2018

Excellent course! I learned a lot. The assignment are not as well prepared as previous courses. Probably they'll be better as students raise errors

By Mihajlo

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Feb 20, 2018

As a novice in seq-2-seq models, I learned so much! This is a great source of state-of-the art knowledge. I only wish it was at least 4 weeks long.

By WAI F C

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Feb 17, 2018

Professor Ng's lectures provided intuitive ways to understand the complex recurrent neural networks and how to apply it in real world applications.

By SHIVAM K

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Feb 14, 2021

I learned various applications of the sequence models. I hope, I will be able to solve various problems by applying the techniques I have learned.

By Armaan B

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Sep 11, 2019

Andrew Ng does not hold anything back while discussing sequence models, including attention mechanisms and how to process and generate audio data.

By wadigzon D

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Feb 24, 2019

excellent, I did some speech recognition & neural nets in the past, I am surprised at how much the field has evolved, this was a great refreshener

By Yashwanth R V

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Feb 20, 2018

The specialisation and this course have truly helped me gain a profound knowledge in theory as well as in programming of the Deep Learning models.

By Mohsen K

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Oct 13, 2022

It would great if you could explain more about the application of sequence models in finance and provide some example in that area.

Thanks a lot.

By BRAYAN Z

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Oct 11, 2020

Course with great content, great examples that give you great intuition and capabilities to enter how the RNN and its different applications work

By Bruno B

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Jan 7, 2020

It has been a long way, but in my opinion this is one of the best set of courses related to Deep Learning someone can find on the internet today.

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 James H

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Oct 15, 2024

Very useful course, Andrew is an excellent lecturer and does a great job of explaining details without getting into the weeds. Highly recommend.

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 Inga V d B

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Nov 17, 2024

Content is well structured and paced. Keeping up was motivation and interesting to learn about the novel applications deep learning can unlock!

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

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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 !