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Yonsei University

Deep Learning for Business

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.

Status: Tensorflow
Status: Artificial Intelligence
BeginnerCourse8 hours

Featured reviews

NA

5.0Reviewed Mar 2, 2019

Even though I do not have the background of Computer Engineering or Science I was able to understand from the professor and the final project truly was able to explain everything for me.

MS

5.0Reviewed Jan 20, 2020

This course is great, easy understanding and full of knowledge, I'll definitely recommend it to my friends

CL

5.0Reviewed Feb 13, 2020

Great course, especially for the people who are implementing NN's into their business models to investigate inefficiencies and automate human tasks as much as possible.

LH

4.0Reviewed May 4, 2018

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

RN

5.0Reviewed Oct 1, 2018

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

L

5.0Reviewed Dec 10, 2020

I learnt so much from this course. It was great and the teacher explained evrything in a great way.

AH

4.0Reviewed Jun 16, 2019

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

NJ

4.0Reviewed Oct 21, 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.

SS

5.0Reviewed Feb 27, 2019

Thank you for the great class! It is a very clear and well organized class. I highly recommend to whoever interested in deep learning!

SB

4.0Reviewed Jul 25, 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.

RT

5.0Reviewed Nov 26, 2019

Gave me a good insight on what Deep Learning is and how neural network functions. The faculty explained it in a simple and easy language

AI

5.0Reviewed Nov 13, 2021

Great pace and information. There is no giveaways. You really have to pay attention to the topic and take notes. Otherwise, the quizzes will kick your ass.

All reviews

Showing: 20 of 184

Fikri Asyrafi
5.0
Reviewed Nov 24, 2017
Nada Mohamed Ahmed Elsayed Abdelhadi
5.0
Reviewed Mar 3, 2019
Rashmi Nagpal
5.0
Reviewed Oct 2, 2018
Norfaizah Othman
5.0
Reviewed Dec 31, 2020
Flavio Favero
2.0
Reviewed Oct 10, 2018
Milan Bartos
1.0
Reviewed Dec 5, 2017
Enyang Wang
1.0
Reviewed Dec 31, 2018
Michael Grier
5.0
Reviewed Jan 16, 2019
Marcelo Porto Rodrigues
2.0
Reviewed Mar 25, 2020
Aditya hrishikesh
5.0
Reviewed Oct 1, 2017
Joerg Alpers
5.0
Reviewed Mar 16, 2019
Nicolas s
5.0
Reviewed Oct 23, 2017
Sebastián Franco Cornacchia
5.0
Reviewed Oct 26, 2020
Asher
5.0
Reviewed Jun 12, 2020
Stéphane Dumontier
5.0
Reviewed Aug 3, 2019
Christian Lawson
5.0
Reviewed Feb 14, 2020
I-Chun Tu
5.0
Reviewed Feb 28, 2018
Rajasekar TJ
5.0
Reviewed Nov 27, 2019
sbaek3
5.0
Reviewed Feb 28, 2019
Ondrej Zamecnik
5.0
Reviewed Apr 16, 2023