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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
29,892 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

WK

Mar 13, 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks a lot!

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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1026 - 1050 of 3,626 Reviews for Sequence Models

By Abhinav k

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Jun 20, 2019

Thanks, Andrew Ng for all the efforts and time for creating such a wonderful course accessible to everyone.

By Edir G L

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Aug 26, 2018

This is the best course on the deep learning specialization. You learn the most novel and useful deep nets.

By Shantanu S

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Jun 16, 2018

The Jupyter notebook ,ust be improved. it has constant connection problems. it fails connection in between.

By Yash G

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Jun 8, 2018

Nice course with most important concepts covered. Nice references to research papers, and good assignments.

By Олег Д

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May 6, 2018

While taking this course I was feeling that sequence modeling is Andrew Ng's favourite topic. Great course!

By Tom A

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Sep 19, 2022

I loved this course. I'm not sure all of it was relevent to my applications but it was great background.

By ISMAEL F I T

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Sep 9, 2020

Excellent course. It provides insights for a wide variety of applications. I recommend taking this course.

By Austin M

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May 8, 2020

Incredible level of detail. Truly a pleasure to take this course and the entire specialization! Thank you!

By Hari K

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Nov 27, 2018

Andrew makes the topic interesting and easy to grasp. The assignments are very well written. Great course!

By Jesper K

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Aug 13, 2018

This is an excellent coverage of sequence models. Very interesting applications, clear content. Thank you!

By Sanjeev K S

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Apr 22, 2018

This course given me the basic understanding about analyzing sequence data with the help of deep learning.

By Jozef R

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Feb 26, 2018

Great course! Thank you professor Ng! Thank to yout I'm motivated to continue to learn more in this field!

By Dongxiao H

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Feb 5, 2018

Thank you, Professor.

If it's not your intuition for these videos, I will still confuse the details of RNN.

By Xh L

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Mar 7, 2020

In the course of this course, I built my own sequence model and realized it step by step, which is great.

By Jitin K

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Sep 22, 2019

Intuitive and clear videos and explanations. Excellent programming assignments! Thanks to the whole team!

By HAMID S

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Dec 15, 2018

Wonderful course with beautiful intuitions all around , one thing though bit of more mathematics involved

By Rajesh K

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Oct 5, 2018

Suggestion:

It would have been great if the topics related speech recognition was covered more in detail.

By Alexey I

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Apr 1, 2018

It would be nice to have an additional course on VAE, GANs, CNN-based NLP, and the rest of bleeding edge.

By Jingying W

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Jun 25, 2020

Amazing course! Finally get more familiar with LSTM structure and encoder-decoder architecture! So happy

By adolfo b

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Oct 18, 2019

This was another great course from Dr. Andrew Ng. I feel like I now have a firm grasp of how RNNs work.

By Intan D Y

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Oct 9, 2018

need to focus on learning this course because the material is complex. also need to practice using Keras

By Achen

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May 5, 2018

clear delivery, practial, comprenhensive, good learning pace, well calibrated feedback and vibrate forum

By Andres V

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May 1, 2018

great I really like the content of all the specialization and the hands on projects. thank you so much !

By Phan Q K N

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Mar 4, 2022

So satisfied and happy learning this course. I absorbed many interesting knowledge after this course :D

By ANMOL J

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Aug 27, 2020

Just Absolutely Amazing!

Thank you deeplearning.ai to provide this wonderful in-depth specialization !!!