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

4.8
16,646 Bewertungen
1,816 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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251 - 275 von 1,801 Bewertungen für Sequence Models

von Rebeen A H

Dec 09, 2018

Thank you very much

von Kadir K

Dec 09, 2018

Thank you Andrew Ng for the great tutorials. That absolutely shed lights ahead my career!

von Babu, C

Jan 07, 2019

Can't get better than this in academic world! Outstanding practical examples given. Very happy to be hands on this course

von Hendri S W

Dec 07, 2018

A comprehensive review of recurrent neural network and sequence models.

von hrsu

Dec 07, 2018

useful

von MAIZA H

Dec 07, 2018

great course !

von Xiaonuo G

Dec 25, 2018

Great introduction to practical Keras-based deep learning algorithms, studies, techniques and delivered using Jupyter notebooks. Couldn't ask for a better approach to teaching machine learning

von John E S

Dec 24, 2018

Great lectures. Well thought out quizzes and exercises. The only negative point is that the exercises are too easy, they spoon feed too much of the code.

von CUI

Feb 03, 2019

great courses, big thanks to Andrew Ng

von Kak S

Jan 20, 2019

Great and excellent

von Lucas G S P

Jan 21, 2019

I appreciate all the hard work and effort Andrew and his team puts in all his material.

I had hard time with most of Keras homework’s, I think it's hard to get the overall logic of a framework without an extensive explanation.

Besides that, the topics discussed are amazing.

von Aleksa G

Jan 20, 2019

I really liked this last course as I did not have much experience with NLP and with audio in general, as I did have with computer vision and image processing. The keyword detection model is really cool! After this specialization I am starting to build my own ML projects!

von Fernando H F

Jan 21, 2019

Great course! Andrew is great in explaining complex definitions with simple and understandable explanations. The course goes deep in multiple applications of Sequence Model for Time Series Data, and the programming exercises are challenging and rewarding.

von Gordon W

Jan 21, 2019

Thank you very much Andrew and TAs.

von Jaime R

Dec 08, 2018

Everything you should know about Recurrent Neural Networks with some impressive demos

von Vinay M

Dec 08, 2018

The best course of the specialization

von Junfei S

Dec 10, 2018

The course content is great overall! The only thing I am a little unhappy is that one or two of the programming exercises have confusion instructions. But finally I made it under the help of peers on the discussion forum.

von Harold L M M

Dec 10, 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.

von 陈辉

Dec 10, 2018

虽然后面的课程准备没有machine learning 那么充沛,但是依然是很好的课程

von Jiandong S

Mar 09, 2019

It took me a longer time to finish the course due to busy schedule. But I found it totally worth the struggle to work on the course material. Sequence modeling and processing is an new area to me. The course taught me some basic concepts and gave me a chance to lay hands on through programming exercises. I feel a lot like the topic particularly NLP. Thanks!

von Justin T

Mar 09, 2019

Great help by the mentors and community. Learned a lot here.

von Hyeon S J

Mar 10, 2019

Best Lecture

von Zifei S

Feb 13, 2019

Great course teaching state-of-the art NLP technologies. I wish the attention notebook could be improved, and the projects could get more flexible and in-depth. I also wish there could be a Keras tutorial that gives an overview of the framework.

von Youssef A S T

Feb 13, 2019

THANK YOU <3

von 梁礼强

Feb 13, 2019

Andrew is cool!!Nice course!