Deep Learning for Business
Explore powerful deep learning concepts and practical applications for driving business innovation through artificial intelligence technologies.
Explore powerful deep learning concepts and practical applications for driving business innovation through artificial intelligence technologies.
This course, taught by Professor Jong-Moon Chung of Yonsei University, provides a comprehensive introduction to deep learning and its business applications. It covers the fundamentals of artificial intelligence, machine learning, and deep learning technologies, with a focus on their practical implementation in various industries. The course is structured in three parts: future business strategy based on deep learning, core technologies of deep learning systems, and hands-on projects using TensorFlow Playground. Topics include state-of-the-art AI products and services, neural network architectures, convolutional and recurrent neural networks, and open-source deep learning software. The course aims to equip business professionals with the knowledge to develop strategies and conduct technical planning for new deep learning and machine learning services and products.
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What you'll learn
Understand the fundamentals of AI, machine learning, and deep learning
Analyze current and future AI-based products and services in various industries
Explore core technologies of deep learning systems including neural networks
Understand the applications of convolutional and recurrent neural networks
Gain hands-on experience with TensorFlow Playground for neural network design
Develop business strategies incorporating deep learning technologies
Skills you'll gain
This course includes:
6 Hours PreRecorded video
10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course offers a comprehensive introduction to deep learning and its applications in business. Over six modules, students explore the fundamentals of artificial intelligence, machine learning, and deep learning technologies, with a focus on their practical implementation in various industries. The curriculum covers key topics such as neural network architectures, convolutional and recurrent neural networks, and open-source deep learning software. Throughout the course, Professor Chung emphasizes the business implications of these technologies, discussing current and future AI products and services, and strategies for implementing deep learning in business contexts. The course includes hands-on projects using TensorFlow Playground, allowing students to gain practical experience in designing neural networks.
Deep Learning Products & Services
Module 1 · 1 Hours to complete
Business with Deep Learning & Machine Learning
Module 2 · 1 Hours to complete
Deep Learning Computing Systems & Software
Module 3 · 1 Hours to complete
Basics of Deep Learning Neural Networks
Module 4 · 1 Hours to complete
Deep Learning with CNN & RNN
Module 5 · 1 Hours to complete
Deep Learning Project with TensorFlow Playground
Module 6 · 33 Minutes to complete
Fee Structure
Payment options
Financial Aid
Instructor
Professor, School of Electrical & Electronic Engineering
Dr. Jong-Moon Chung is a professor at Yonsei University's School of Electrical and Electronic Engineering. He earned his B.S. and M.S. from Yonsei and a Ph.D. from Pennsylvania State University. Previously, he served as a professor at Oklahoma State University, where he directed the OCLNB and ACSEL labs. His research covers smartphone design, IoT, AR, SDN, mobile communications, and networking technologies. He has received numerous awards, including the ROK DAPA Director’s Award and the Regents Distinguished Research Award. Dr. Chung is a senior IEEE member and co-editor of multiple academic journals.
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4.4 course rating
671 ratings
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