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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
26,828 ratings
3,177 reviews

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.

WK
Mar 13, 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

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201 - 225 of 3,165 Reviews for Sequence Models

By Satyam D

Mar 27, 2019

Dear Prof Andrew Ng and deeplearning.ai team, Sequence Models is yet another excellent course where I have thoroughly enjoyed learning about new and powerful concepts of Deep Learning. The course content, quizzes and programming assignments are of the very highest quality. I am deeply grateful to the entire team. Thanks a lot!

By Rahuldeb D

Sep 23, 2018

Really an awesome course. A bit difficult to grasp in three weeks. But, Prof. Andrew Ng has tried his best to make the content lucid. I am great full to all the faculty members for offering such an excellent course. I personally feel that if course can extended for another week then it will easier to understand the concepts.

By Navin S

Jul 15, 2020

Very good course to learn things about Deep learniing. I think the Andrews courses keptmy interestin the courses with the video, quizes, assignments. I wish to challenge participants further, there should be (non-gradable) exercises based on the available util functions and contents. I mean where one has todobit more work.

By Nilanka W

Feb 18, 2018

Awesome course. I did not know what it meant by Deeplearning at the start of the program, but now I'm confident on finding a way. Thanks prof Andrew NG and all the Instructors and team for organizing such a rich content. You probably have put a great effort. It was challenging but fully worth. And recommending to anyone !!

By Jonathan L

Dec 18, 2018

Great lectures on the different structures of Sequence Models for use in Natural Language Processing, Text Translation, and Audio Recognition. There is a lot of material packed into 3 weeks, but this course will help anyone familiar with Deep Learning/CNNs to take a dive into the world of NLP and audio/speech recognition.

By Harold M

Dec 9, 2018

This Sequence Models and RNNs course was a very challenging course in the specialization similar to that of Convolution Networks. I've learned a lot on these topics, and I will continue expanding my knowledge from here on.

Overall, this is a great and complete specialization on Deep Learning.

Thank you professor Andrew Ng.

By Josh C

May 3, 2021

Just finished the last class of the specialization. It's amazing how far we came during the 5 classes. I'm so impressed with the way it builds from first principles into high level discussions of state of the art DL. And now they have released updates to all the classes. Can't wait to see what enhancements they made,

By Himanshu S

Jun 7, 2019

The topics covered in this course were a bit on the advanced side. The technologies used are most frequently used in the area of NLP. The course helps understand the basic concepts of NLP like word vectors and embedding, at the same time explains the very complex concepts like LSTM, GRUs and Attention models very well.

By Uday K B

Dec 12, 2019

This course is perfect to learn deep insights of natural language processing, word2vec, speech recognition, trigger word detection and sentiment analysis among others. This course not only trains in using open-source libraries, but also trains to learn how to implement these life-changing techniques all by ourselves.

By Sharath G

Feb 22, 2019

Deep learning specialization is one of the best courses I've ever done. When I used to work on Computervision prior to this course, I used to stumble a lot conceptually and in implementation. This specialization gave me a pragmatic insight into the DL. Can't thank coursera, deeplearning.ai and instructors anymore. :)

By Ahammad U

Nov 11, 2020

What an awesome course it was? I have completed my Deep Learning Specialization. It was a about three month journey with Coursera and Andrew Ng. I really miss Andrew. I suppose, I will see you, Andrew Ng, in another Machine Learning Specialization on Coursera course. Till than, I am waiting what will come from you.

By Sanket D

Jun 1, 2020

This course gives an in depth explanation and intuition of RNNs used for learning tasks involving Sequences.

The time required to complete programming assignments takes usually more than an hour to complete than the specified time.

Rest it was a very exciting journey to learn deep learning along with Andrew Ng sir!

By Anne G

Sep 13, 2019

I have thoroughly enjoyed the course from start to end! Each course is well organized, the teacher taught really well, and the programming assignments are very rich with easy to follow guidance, and lots of good libraries / functions that we can leverage / learn from. Thank you very much! Have a wonderful day!

By jaylen w

Nov 8, 2018

Finally I finished the whole series of Deep Learning AI, through which I gained a lot of intuition of deep learning algorithms and its implementation. It's great course to get into this new era especially with a excellent teacher like Andrew who really illustrates the core ideas of deep learning algorithms to me.

By Pavel K

Mar 31, 2018

The last module is awesome as all previous ones. Thank you all guys!

Thank you guys who posted questions, thank you guys who posted answers as well. I appreciate you all. And one more special appreciation to Andrew Ng for this entire course. This course gave me a great knowledge and intuition about Deep Learning.

By Rajan A

Jun 22, 2020

I have been through wonderful journey of learning and implementing deep learning from very scratch. This course really transforms one from caterpillar to butterfly with very minimal pain of calculus and linear algebra. Thanks to Andrew and deeplearning.ai team for providing such a marvelous bundles of knowledge.

By Sardhendu M

Feb 9, 2018

Lots and Lots of knowledge and experience in 3-weeks of class. In Machine Learning terms, this course maximizes the knowledge and experience gained with sequence models by minimizing the time required to complete the course. Lecture videos are very intuitive while assignment projects are very real-world centric.

By Saimur A

Sep 5, 2020

As always one of the best courses offer by coursera and it was a hell of a ride. I learned about many things like RNN,sequence model,GRU,LSTM,word triggered,word sampling,translation using deep learning algorithm . Andrew did a fantastic job and keep everything simple so that everything can be understandable.

By Matei I

Mar 31, 2019

Really good choice of topics, including state of the art tools like attention and word embeddings. Very useful, especially for those interested in Language Processing applications. However, the videos and assignments need some more careful editing, because there are occasional mistakes, lazy explanations etc.

By Maryam H

Jan 20, 2020

Very great and aspiring course, I learned lots of concepts in this course. I think It would be better If there was a capstone project for the final course of deep learning specialization. It was very great but If I had the opportunity of implementing a project from zero to 100, It would be more than great...

By Александр

Sep 2, 2018

Great course, though not as awesome as other Ng's courses. I think creators became a bit tired closer to the last course in specialization. Anyway, fantastic courses, fantastic specialization, fantastic professor! Thank you very much!! Looking forward to new courses - maybe Reinforcement Learning, GANs? =)

By Shabie I

Feb 18, 2018

Leave it up to Mr. Andrew Ng to explain complex concepts in a very much intuitive manner. The guy is a world apart when it comes to explaining complex concepts. No other MOOC even comes close. Absolutely highly recommended.

The only negative part about this course is that it ends. You don't want it to end.

By J.-F. R

Feb 18, 2020

Great course by Prof Ng. I had taken his Machine Learning course a few years ago, so expected high standards of content and assignment preparation - I was not disappointed. Staff is very responsive and helpful in forums as well. I highly recommend it. Taken as part of the DeepLearning specialization.

By Irvin

Feb 8, 2020

I loved this course as wel, I had a little bit less time to advance as steadily as I did with previous courses. So I had a little bit of trouble getting the context back when starting again each time. The next steps for me are putting what I learned into practice and basing myself on what I learned here.

By Pavel K

Feb 5, 2019

This course offers a great introduction to the models: RNN, GRU and LSTM.

In addition, it illustrates the power of "Word Embedding" and "Attention Model".

The programming assignments are interesting, provide deeper understanding of the models, and show how simple it is to implement these models in Keras.