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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
31,120 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

MK

Mar 14, 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

JY

Oct 30, 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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1251 - 1275 of 3,821 Reviews for Sequence Models

By Karl S

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Feb 19, 2018

This should be required material for anyone going into deep learning from another field.

By Nishant S

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Feb 13, 2018

good course...assignments are great allowing one to understand the activities in detail.

By Dhaval S

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Jan 3, 2022

Some topics are really tough to grasp. Howeve, it is giving is most recent information.

By Kyaw T H

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Oct 24, 2020

The Course is awesome and best! But, it is difficult for who doesn't familiar with NLP.

By Madhav D

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May 29, 2020

Fantastic course by Prof Andrew Ng and the Deeplearning.ai team. I highly recommend it!

By Yuri G

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Apr 12, 2019

I like the great approach to the tasks which are no way dull, but are really inspiring.

By Yiqin Y

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Mar 10, 2018

Thanks to Professor Andrew and all the staff, this is really, really an amazing course!

By victor v a

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Oct 26, 2022

Great course! Learned a lot, even though I already was familiar with neural networks.

By Will S

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May 27, 2020

Lecture content was very good. Coding examples of keras/tf during lectures would help.

By Chetan

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May 12, 2020

Great course with some really cool and necessary assignments to learn sequence models.

By Thanh N N

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Nov 3, 2019

Great course! I learned quite a lot from this course. Thanks so much, Prof. Andrew Ng!

By Jonery.L

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Apr 1, 2019

Very excellent course. You have to work hard in order to complete it, but it's worthy.

By Dan L

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Aug 3, 2018

Specific course. I really enjoy all courses of this specialization. Thanks, Prof. Ng!

By Mark P

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May 5, 2018

Would love to see a course on deep reinforcement learning and GANs (generative models)

By John E B

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Mar 8, 2018

Very interesting! Only thing is perhaps a better introduction to Keras functional API.

By 袠谢褜褟 袙

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Jun 5, 2021

袩褉械泻褉邪褋薪褘泄 泻褍褉褋. 袣 褌芯屑褍 卸械, 锌褉芯谐褉邪屑屑邪 芯斜薪芯胁谢褟械褌褋褟, 褔褌芯 写械谢邪械褌 械谐芯 械褖械 斜芯谢械械 锌芯谢械蟹薪褘屑.

By Juan E R

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Oct 15, 2020

This was a great course, I could learn a lot of Machine Learnings and Deep Learnings.

By 袦邪谢褘褕械胁 携

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Jul 14, 2020

Great course!

Interesting materials and exicting programming assignments.

Thanks a lot!

By Oliver P

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Jun 28, 2020

It helped me a lot putting my existing knowledge on Sequence Models on a solid basis.

By Karthikeyan T P

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Jan 21, 2020

Excellent course regarding Recurrent Neural Networks and Natural Language processing.

By Animesh S

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Jun 16, 2019

Amazing content, can get really strenuous. An apt end to an excellent specialisation.

By Jaime R

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Dec 8, 2018

Everything you should know about Recurrent Neural Networks with some impressive demos

By Huaixiu Z

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Mar 5, 2018

Great design of the structure to cover both language modeling and speech recognition.

By Ali M

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Feb 28, 2025

Great content. At times it was tough to catch but overall it was easy to understand.

By Ashutosh M

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Feb 13, 2024

I like the design of course, but a few more readings and references could be better.