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Deep Learning for Business(으)로 돌아가기

연세 대학교의 Deep Learning for Business 학습자 리뷰 및 피드백

4.3
별점
451개의 평가
125개의 리뷰

강좌 소개

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers. The second part focuses on the core technologies of DL and ML systems, which include NN (Neural Network), CNN (Convolutional NN), and RNN (Recurrent NN) systems. The third part focuses on four TensorFlow Playground projects, where experience on designing DL NNs can be gained using an easy and fun yet very powerful application called the TensorFlow Playground. This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products....

최상위 리뷰

AA

Jun 12, 2020

It was very informative, the instructor paces the information very well, & I love the resources at the end of every lecture.\n\nthe last project section was very well done & explained in detail.

RN

Oct 02, 2018

Amazing lectures! Detailed description of each topic coupled with mind blowing graded assignments! :)\n\nThanks a real bunch, Coursera for offering this courses & of course, scholarship!

필터링 기준:

Deep Learning for Business의 124개 리뷰 중 76~100

교육 기관: Dr. S T

Apr 29, 2018

Good Introductory course for those from a business background. But if you have technical skills, then probably another course (Machine Learning from Andrew Ng may be a better one).

교육 기관: NICOLAS J

Oct 22, 2018

Content is complete and cover a huge scope. Improvement could come from using the Tensor flow earlier in the course to get better representation of the outcome and more hands on.

교육 기관: Ankita P

May 20, 2019

An interesting and comprehensive study on DL. It was very thorough with great examples and proper demonstration of technologies used behind everyday objects.

교육 기관: Swapnil B

Jul 26, 2018

Excellent course for the beginners. I have got good opportunity to learn the basics of Deep Leaning. My suggestion would be to include practical examples.

교육 기관: Erwin P P C

May 07, 2020

Very good course to prepare for what is coming about IoT, IA, ML and DL, many concepts have been cleared for me, thanks Professor Jong.

교육 기관: Mario B

May 05, 2020

Concise and focused on main concepts. Perhaps some more examples on CNN and RNN would be useful to understand better those topics.

교육 기관: CARLOS O D L

Aug 22, 2019

I appreciated the most when the Deep Learning models where graphicaly presented. I found them very useful and easy to understand.

교육 기관: Ahasanul B H

Jun 17, 2019

Valoi...Keu loite chaile loibar paros. Learned a lot a new things. Thanks to yonsei university and coursera for this course.

교육 기관: Victor C

May 04, 2018

It was a good introduction and overview to some of key underlying technologies in Machine Learning. Thank you.

교육 기관: Llewellyn

May 05, 2018

Excellent content, very up to date information. Thank you for the quality introduction to the future.

교육 기관: Krzysztof B

Jul 09, 2018

Great knowledge and really good explanation, but no practice exercises with examples from our live

교육 기관: Ramesh

Aug 26, 2019

It gives very high level overview about the tool and platforms available in the AI, ML, DL field.

교육 기관: Jose A V

Apr 01, 2018

good bsaic concepts. I would probably include some more videos on concrete business applications

교육 기관: Aseem C

Aug 10, 2018

The coverage is vast and subject itself is abstract. However it was a great learning experience.

교육 기관: Ivan T

Jul 06, 2020

Prof Jong-Moon Chung kept the lessons short and sweet thus making it easier to understand.

교육 기관: Derek B

Aug 21, 2018

Good course, quite technical with a lot of focus on the underlying methodology.

교육 기관: HUBER H M

May 17, 2020

Great course because is a generaldescription de aplication and methods the RNN

교육 기관: Lai y c

Jan 05, 2019

it can be more implement course not only tell us the information .

교육 기관: Julian D C L

Oct 13, 2019

Hace falta algún ejercicio práctico así sea sencillo

교육 기관: Aydin A

Dec 15, 2017

it's really great for beginner in machine learning.

교육 기관: Andres f m m

Sep 19, 2019

seria bueno que fuera mas practico

교육 기관: Duvan E G G

Oct 18, 2019

A good introduction to IA, ML, DL

교육 기관: marco a h g

Dec 09, 2017

Excellent course

교육 기관: Rolf J

Aug 16, 2019

It is a pretty interesting course, but in terms of pedagogical value it is not that great. It focuses way too much on description (which could easily be gleaned from the internet) instead of explanations. After the course I googled some of the stuff covered (such as CNN and RNN) and found explanations which really make you understand how it works, why it works and what it does. That is not achieved with this course.

교육 기관: Raviteja P

Mar 10, 2019

Many terms are introduced, but some of them are not for beginner level, there was coverage of many things but core aspect how we can connect the dots of deep learning with business problems is not very clear and simple. It can be improved by relevant examples of problem statements and how each solution type like CNN, RNN is utilized for such scenarios.