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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,552 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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1276 - 1300 of 3,724 Reviews for Sequence Models

By Mike I

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Jan 31, 2019

Very good for understanding how recurrent neural networks work. Highly recommended

By srikanth m

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Jan 2, 2019

Great course. Sometimes it got tough and boring in between, but good deal to learn

By Mecu M

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Dec 29, 2018

Excellent like the rest of the courses from this specialisation! Thank you Andrew!

By Deepak S

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Feb 20, 2018

Once again great course by Andrew Ng! Makes it very simple and easy to understand.

By Fardeen R

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Jun 10, 2024

Very good course for learning RNNs, GRUs, LSTM, Attention models and Transformers

By Benjamin Y

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Jun 23, 2023

Generative_AI -> Back_to_The_Future :: Deep_Learning_AI_Specialization -> Tenet

:)

By jing h

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Nov 24, 2021

learned a lot from this meaningful and interesting specialization, thanks a lot!

By Shubham G

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Nov 14, 2021

Thankew to andrew ng and whole coursera team for providing such a awsm course <3

By RUSHI P

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Jul 30, 2020

I really loved the classes and the way the assignments and quizzes are put forth.

By Gor C

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Jul 5, 2020

All the courses in this specialization are treasures for newcomers in this field.

By Boris A

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Mar 22, 2020

Great course, covers a lot of useful topics and provides great working exercises.

By Paras G

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Aug 26, 2019

Slides should be available in PDF format for students to go back and forth again.

By Michael P

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Sep 12, 2018

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t the videos are excellent

By Ashley C A

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Aug 23, 2018

Good explanations and examples. Maybe should add more development into exercises.

By Ljubisa M

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Aug 12, 2018

Got insights about how all the cool stuff in ML is done and direction of research

By Mohamed E

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Jul 25, 2018

nice course beginner friendly but instructor is not shy to cover advanced topics.

By LiJia

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Jun 3, 2018

Nice classes, with wonderful exercises. I have learnt very happily. Thanks a lot.

By Oleksandr M

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Feb 9, 2018

Great course! As always, there are interesting lectures, useful assignments, etc.

By Eric G S

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Oct 31, 2020

Excellent course, thanks for creating a good balance between theory and practice

By SAI B A

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Jun 29, 2020

good enough basic course though don't stop her continue with your enthusiasm ...

By Tan B

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Feb 28, 2019

This is the last and very good course. The last assignment was very interesting.

By PK G

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Jan 11, 2019

The excercise gave very little room to learn and everything was mostly spoon fed

By Xiaoahe X

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Nov 29, 2018

The course is really helpful, but It takes some time to get familiar with Keras.

By Sayar B

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Sep 8, 2018

A perfect ending to the specialization, this one is for all you NLP enthusiasts.

By Yuval A

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Jun 19, 2018

This course explains the topic of RNN very well. Liked the programming exercise.