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17,135 Bewertungen
1,874 Bewertungen

Über den Kurs

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....



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.


Jul 01, 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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226 - 250 von 1,854 Bewertungen für Sequence Models


Mar 04, 2019

Excellent course!!! Dr. Ng is the best

von Shirish P

Mar 13, 2019


von 唐章源

Mar 14, 2019


von Camilo G

Mar 14, 2019

Great course

von 杨伟

Mar 14, 2019

A Very Excellent Course!!!

von Yashpal

Mar 05, 2019

A awesome course !! Thanks zillion Andrew !! You are great !

von Gopi P V R

Mar 16, 2019

It's great course to get concepts right and overview. It will be great if you add further programming assignments(other than partially coded ones) or resources as such where one can practice what he had learned as optional.

von Juilee D

Mar 15, 2019

Very beautifully taught

von Sasagu T

Mar 08, 2019

Finally I think I am ready to read more papers

von Duc T

Mar 07, 2019

Great course! As usual, very clear and detailed explanation, break down tough concepts into simpler terms. I've learnt a lot from the course. Thank you so much, Prof. Andrew Ng and your team!

von Thant H M

Mar 08, 2019

One of the best online teaching and learning site.

von Akash C

Mar 08, 2019

Excellent Course......

von Raivis J

Mar 18, 2019

This is the hardest course in the specialisation, and may take some extra effort. For practical assignments I recommend getting familiar with Keras syntax and workflow, as here there is little hand-holding here,. the focus is on actual model architecture and algorithms.

von Juandiego M

Jan 05, 2019

Another fantastic class by Andrew Ng! I learned a lot in this class, and in the Deep Learning Specialization in general.

von Tian Q

Jan 06, 2019

Great content! Andrew's lectures are great as always. The assignments are absolutely exciting and fun. Obviously the team put a tremendous effort on the programming exercises to make them doable for laymen yet not trivial. The exercises avoid using libraries (like Keras and TensorFlow) at the very beginning. Instead, they started with the more basic Numpy implementations. After these practice, I am able to grasp what each layer is actually doing.

My only suggestion is to correct some trivial typos in the Notebook.

von Ali S

Jan 05, 2019

Finally, I understood LSTMs, thanks to this course, thanks to Andrew! Before this course, I spent many hours reading papers on LSTMs and trying to figure out what is going on with all these "Gates", but couldn't understand intuitions behind them. In this course not only I learned and understood them, but also I learned a lot about machine translation and speech recognition which I was frightened to approach them. This course gave me all fundamental concepts and tools that I needed to be able to deal with sequential data.

von Yusri D H

Jan 06, 2019

The course is very fun and clear.

von Vladimir L

Jan 05, 2019

This is a great course, it gave me a good overview of how various types of data (written text, speech, images/video) are used in neural network models. The course materials smartly omit complexities behind pre-built deep learning models, and provide students with hands-on examples, which spark creativity and imagination. Thank you!

von 张建楠

Dec 22, 2018

very good!!!

von Michael K

Dec 06, 2018

Great course! Very informative, and delivered in a way that is easy to follow if you've taken the other courses in the specialization. Andrew has a gift for teaching.

von Pedro M H V

Dec 06, 2018

Great course: material, instructor, assignments, everything! Perfect way to introduce or consolidate your knowledge in recurrent neural networks to model sequence data with a really strong component of direct industry-relevant application.

von Adil F

Dec 06, 2018

Best course on sequence models.

von Tomasz K

Dec 06, 2018

the best out of the 5 in the specialization.

von Alina P

Nov 23, 2018

Completed Deep Learning specialization in the I really liked this course, it will be useful not only for the beginners, but also for the specialists, which want to have an overview about current neural networks trends and see the interview from the best specialists of AI. To make this course perfect I would recommend to fix some errors in the theory of programming assignments (specially in the last 2 courses). Sometimes this issues are confusing and forcing to check on the forums correctness of the task.

von Ethan ( H

Nov 23, 2018

Andrew is my idol