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Kursteilnehmer-Bewertung und -Feedback für Sequence Models von deeplearning.ai

4.8
16,710 Bewertungen
1,828 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. deeplearning.ai 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....

Top-Bewertungen

JY

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.

AM

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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76 - 100 von 1,808 Bewertungen für Sequence Models

von Daniel A P C

Dec 31, 2018

the course was excellent, I learned a lot, the only problem was the python notebook which was very slow and had many errors

von Stephen H

Dec 31, 2018

An excellent course from Andrew Ng

von Amit P

Dec 31, 2018

Andrew's ability to make complex topics so easy to understand is amazing. His explanation of the 'intuition' behind complex stuff makes you really understand what is going on and why. Very happy with the course, it provided everything I needed to know to understand it in detail and implement it. Thanks Andrew for making this course.

von Carlos H B

Jan 26, 2019

Great course

von David P

Jan 27, 2019

really useful!

von Alam N

Jan 27, 2019

Finally, after 6 months achieved desired goal in Deep Learning Specialization.

Thanks to #andrewng #coursera team for motivation and opportunity. It was not possible but due to #andrewng motivational words and explained deep knowledge in simple words. I can't express my feeling in words. Thanks again

Best wishes for Andrew Ng and Coursera Team

von Chen N

Jan 27, 2019

Really cool :)

von Ananya R

Jan 27, 2019

Great Course, just like the rest in the specialisation! Really like the method of teaching!! Some sections of the assignment were coded before hand but would have been nice to be able to code them as well. Thanks

von Ruiliang L

Jan 26, 2019

Very knowledgeable

von Carlos S

Jan 27, 2019

Definitely worth it! A great way to end the series of courses in the specialization. Programming exercises are really well thought and fun!

von Haris M

Jan 27, 2019

The Best!

von Vasileios T

Jan 26, 2019

RNNs are incredible. And this course is very thought-provoking on that topic. And truly educational.

von Hu H

Jan 03, 2019

Thanks very much for Andrew Ng and the other teachers, who made a series of these awesome classes including videos or programming works running on the jupyter-notebook. And also thanks the finical aid provided by the Coursera, I can't finished this course without your generous help. After a hard work with the Deep Learning classes, not only gained the knowledges, but inspired by the spirt from Andrew that "try to help people with your technology", which actually changed my mind, I will study more, do better to remember that in my life. Thank you and hope the world be a better place.

von GANHADHAR

Jan 04, 2019

Great Learning

von Michael O

Jan 31, 2019

Very good for understanding how recurrent neural networks work. Highly recommended

von Sarthak P P

Feb 02, 2019

Excellent

von CUI

Feb 03, 2019

great courses, big thanks to Andrew Ng

von Joachim D

Feb 03, 2019

Great course, very clear presentation and interesting examples on how to prepare data and how to use keras. Very interesting on how easy it is to build & train complex networks with keras (once you have the data..)

von Pavel K

Feb 05, 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.

von Bruno G C

Feb 05, 2019

awesome!

von Zhaiyu C

Jan 26, 2019

A bit harder than previous courses. Pretty well organized as always.

von Prateek G

Jan 26, 2019

This was a tough one. The specialization is well structured and slowly progresses in terms of complexity. Having worked on RNN, i thought I would ace the projects. Different story though at the end

von Raed C

Nov 20, 2018

Very didactic course and very good lessons on sequence models applications

von mvpzhao

Nov 20, 2018

very good lesson, thanks Andrew Ng