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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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1226 - 1250 of 3,697 Reviews for Sequence Models

By Yuri

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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 9, 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 26, 2020

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

By Chetan

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May 11, 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 4, 2018

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

By John E B

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Mar 7, 2018

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

By Илья В

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Jun 4, 2021

Прекрасный курс. К тому же, программа обновляется, что делает его еще более полезным.

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 Малышев Я

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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 27, 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 20, 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 Ashutosh M

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Feb 12, 2024

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

By sesh g

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Dec 15, 2019

This is an excellent course with deep insights on variety of models and applications

By anusha k

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Oct 20, 2019

Very good course.Good to learn to build networks from scratch as well as with Keras.

By Utkarsh G

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Feb 27, 2019

The course is good but I like the other courses of the specialization a little more.

By Edwin Y

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Jan 16, 2019

Thank you Andrew and the team for putting together such a great learning experience.

By Diego M

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May 3, 2018

Excellent as the rest of the specialisation. Few teething problems on the exercises.

By Bilal M

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Feb 28, 2018

Thanks guys. I loved the whole series especially the lectures of Ng and fun labs. :)