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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,390 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.

MK

Mar 13, 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

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726 - 750 of 3,693 Reviews for Sequence Models

By Pat S

Jan 10, 2021

This course gives a great foundation to understand sequence models. Assignments help lay out how sequence models work and also interesting applications.

By Subrata S

Aug 17, 2019

Very much satisfied, to its content. Learnt a lot, thanks a ton to Prof. Andrew Ng for your hard work on its topics & how making learning easy.

😁️☺️👍️

By Marcus B

Jun 28, 2019

Very effective at improving my understanding of RNNs (and its variants), Natural Language Processing, and some basics regarding working with audio data.

By Vaibhav K

Dec 1, 2022

This is an awesome course I recommend who really want to learn deep learning step by step. It was really comprehensive theoretical and practical guide.

By AasimBaig M

Aug 2, 2020

This has been an excellent journey and I personally learned a lot from this courses. I want to thank AndrewNg for being the best teacher I ever had. <3

By V V

Jun 14, 2020

This specialization really helped me understand DL thoroughly. I really thank Coursera and Andrew's team at Deeplearning.ai for this wonderful content!

By Srividhya S

May 1, 2020

Awesome assignments. This course was a little difficult to understand but the assignments helped in understanding some of the complex topics discussed.

By Benjamin S S

Aug 15, 2018

Great course, but needs more checks for understanding during the lecture. Course would also benefit with a dedicated module on TensorFlow and/or Keras.

By Uyen H

Mar 16, 2018

The course is well-structured, and a nice introduction to sequence-related neural networks. The programming assignments cover interesting applications.

By Suresh K M

Mar 20, 2020

Fantastic! After this course, i can clearly understand how the basic RNN works. All the programming exercises are very very useful! Thank you so much!

By Kseniia P

Jun 30, 2019

Probably the hardest course of the deeplearning.ai specialization, but made easier with thorough explanations of basic sequence models' architectures.

By Aboubakr P

Sep 25, 2024

Excellent course! I recommend this course. The coding assignments are really helpful represent a good way to gain better intuition on deep learning.

By Gökhan

Feb 19, 2018

This is an awesome course like other courses in this specialization. You can easily understand concepts and apply them thanks to Andrew and his team.

By Sergei B

Feb 25, 2021

Great course. The way Andrew explains the material makes it very understandable. Labs are very neat - especially the comments and markdwon portions.

By Mcvean S

Nov 20, 2020

Always a pleasure to learn from sir Andrew, and this is one of the best courses that teach Natural Language Processing and Sequence Models in depth!

By Vivek M

Apr 11, 2020

Sir Andrew teaches in a very friendly way, also the programming assignment is great to check your understanding of the concepts. Highly recommended.

By Rooholla K

Feb 20, 2020

Thank you Andrew for being such a good and kind person. You've been a shelter and a kind teacher for all of us. Thank you, Thank you and, Thank you.

By Emmanuel A

Feb 9, 2019

Great course on how RNNs work and how they are used to solve real problems (speech recognition, translation, names generation, music generation...).

By Ramesh N

Jan 19, 2019

Systematic, step by step approach to understanding sequence models and practical exercises to see them implemented with lots of guidance.

Thanks you!

By Shantanu B

Dec 18, 2018

The toughest course in the deep learning specialization for me. Learnt a lot. Made me ready for further readings and consolidation of the materials.

By Jun W

Nov 6, 2018

Concepts are covered very well. They are not very easy to grasp. But Professor Ng makes it easy. Hopefully, I will practice some of the knowledge.

By David G

Feb 8, 2018

Thank you Andrew for sharing all these great and latest staff in the AI Deep Learning field. Fantastic course. Will recommend it to all my IT staff.

By Robert H

Aug 31, 2022

Quizzes contain imprecise language, making it difficult to interpret what many of the questions are asking and what the answer choices are saying.

By Mohit s

Aug 14, 2020

the hole module properly designed and the lecture was very interesting and helpful also

coding assignments were really challenging but very useful.

By Fuat O

Jul 10, 2019

This course have been very useful to learn fundamentals of sequence models. I'm really very happy to apply this course and being able to finish it.