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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,411 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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851 - 875 of 3,697 Reviews for Sequence Models

By Yun-Chen L

Apr 15, 2020

It's good course. you can learn different technique skill and type the code by yourself. Start to learn something new in your life.

By Umberto S

Aug 20, 2019

Really interesting themes about the state of the art about the NNs and full of amazing programming exercise to put it into practice.

By Marco

Jun 26, 2019

I really really liked the content inside this course. I find NLP really interesting and as always, Andrew Ng, explains it very well.

By Atsunori T

Nov 18, 2018

It was good that I was able to understand the concept of the sequence model.I would like to learn further to acquire applied skills.

By Sarah W

Apr 12, 2018

Wonderful end to an excellent specialization. Thank you Ng! I learned so much, so excited to keep going with my learning journey. :)

By Jiayi H

Feb 23, 2018

wonderful course give the most up to date and hands on experience. I will highly recommend it. The program assignment is a true gem.

By Nikhil M V

Feb 15, 2018

Super. I have taken lots of courses at Universities and online. The Deep Learning courses were the best ever. Thanks a lot Prof. Ng.

By todor m

Aug 25, 2022

Maybe one of the best explanations of Transformers and Self Attention I've seen so far. Recommended for everyone interested in NLP.

By Ivan B

May 19, 2022

I was a useful course in general, but a bit general. The seed is there, it is our responsibility to keep growing in knowledge of AI

By Dr. R C

Sep 21, 2020

A very well designed course. It has helped me overcome my fear of this particular topic. It was great learning from Prof. Andrew Ng

By Sudarsaan A

Jul 15, 2020

Course was amazing, Gave a pretty deep understanding about sequence models. Andrew Sir never fails to give us a quality education.

By Santiago A A

Jun 23, 2020

Very nice introduction to sequence models with useful videos and practice cases. It will definitely help me break the ice with RNN.

By Ismael d J Á U

May 20, 2020

This course teach you new skills in the field of Recurrent Neural Networks and some advice to get better results in your models :).

By Luke R

Feb 27, 2020

Great course touching on all important aspects in an approachable way - and with fun and educational exercises. Highly recommended.

By Sonal K

Dec 19, 2018

This is an awesome course to give a ample intuition about RNNs. A bit tougher than the rest of the 4 courses but indeed a good one.

By Amit B

Nov 18, 2018

Really great and fun course! (as well as this entire specialization)

I feel like I've learned and accomplished so much.

Thank you! :)

By Galley D

Nov 2, 2018

Again a great course from Andrew Ng. Simplicity, clarity and fun assignments. Thanks to all the team who made this course such fun!

By Navid K

Apr 14, 2018

very well structured course, awesome lectures and explanations by Prof. Andrew.

I'd highly recommend this course and specialization.

By Jun W

Feb 14, 2018

Thank you, Andrew. Like those legendary masters, you taught us not only the super power but also the ethics of using it. Thank you!

By Oliver R

Feb 11, 2021

The Deep Learning specialization gives a great comprehensive view of and a professional introduction into the main AI disciplines!

By Alan K F G

Oct 11, 2020

I could learn Attention and Sequence models in a quite easier way. The instructors really put their best in the lectures and labs.

By Xia H

Aug 14, 2019

Very informative and great lectures like always! I learned a lot important things about sequence models. Thank you Prof. Ng again!

By Colin J

Jun 2, 2019

Fantastic introduction to RNNs, LSTM, etc. Very accessible material but detailed enough to take it away and use it. Thanks Andrew!

By Michał K

Dec 15, 2018

Very good course to start dealing with RNN's.

Thank You Andrew for Your whole specialization. Now i feel like a superhero on a rise

By rahul s

Jun 13, 2018

Great assignments! good hands-on coverage of basic python, high-level Keras and low level TensorFlow frameworks for Deep Learning.