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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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1176 - 1200 of 3,621 Reviews for Sequence Models

By Artin Z

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Jun 8, 2023

Mr. Andrew Ng really has a magical power in making complex tasks easy and understandable!

By Bohao L

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Apr 13, 2023

Best materials I've seen that explain in details how rnn, gru, lstm and transformer work.

By Sohan A

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Sep 8, 2022

This was my firsty dl course its amazing, covers theory very well and code practices too

By Luiz G G

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Apr 7, 2021

Excelent Course :-)... I would recommend for anyone who wants to learn RNN, GRU and LSTM.

By Genyu Z

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Dec 2, 2019

Good enough. Thanks Andrew, this specialization will be a start of my deep learning trip.

By Kadir K

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Dec 9, 2018

Thank you Andrew Ng for the great tutorials. That absolutely shed lights ahead my career!

By John P

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Mar 15, 2018

A very accessible introduction to sequence models and RNNs. Excellent course, thank you!

By Tejas L

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Feb 18, 2018

What an amazing course!

Week3 assignments blew my mind! Some core engineering problems too

By VL

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Feb 9, 2018

NLP and speech recognition intition with real world coding examples. What is not to link?

By charan k

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Jul 1, 2022

Thank you for everything sir!! It's been a truly wonderful experience to learn from you.

By Mi Z

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Sep 3, 2021

Great course, I attend all of the deepleaning courses, Itis worth of reviewing repeatly.

By Yoni K

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Jan 31, 2021

I would like to have more and harder programming assignments and start them from scratch

By Erick A

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Apr 14, 2020

Very interesting and illuminating introduction to RNNs. Thank you so much Andrew & team!

By Alonso O O

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Apr 7, 2020

I've felt it like a briefly introduction to Sequence Models because this topic is hard.

By Daniel A G E

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Feb 3, 2020

Excellente course. I just want a write content, please, like the Machine Learning course

By Krishanu B

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Jan 26, 2020

The best and the most well structured course in this topic. Extremely satisfied with it.

By Carlos S

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Nov 25, 2019

Great course, I couldn't even imagine I was going to learn advanced concepts, thank you.

By Yehua Y

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Mar 10, 2019

thanks god, i have finished all the courses.I love it,thanks Pro. Andrew Ng, thanks all!

By Mark L

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Jul 1, 2018

course is a little bit too light on the explanation, need to rewatch videos a few times.

By Joshua J

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Jun 13, 2018

Very Clearly explained and yet sufficiently challenging to drive learning and retention!

By Jerome R

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Apr 9, 2018

Perfect balance between theory and practice, with intuition first approach! Thank you!!!

By Jesús P

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Mar 26, 2018

A really good course! However it can go deeper with other type of timeseries problems :)

By Karl S

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Feb 18, 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 2, 2022

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