
Deep Learning with Excel
hjk1000
Let's visually learn the principles of deep learning using Excel.
Beginner
Excel, Deep Learning(DL), VBA
This lecture examines the entire process of generating a photo mosaic from an algorithmic perspective. The input image is reduced to a set of representative colors matching the number of tiles through K-means clustering, then the Hungarian algorithm is applied to optimally match each color with a tile in a 1:1 correspondence. Through this, you will understand how image processing and combinatorial optimization algorithms combine to create a single visual output.
Understanding Image Data
Clustering Technique - KMEANS Algorithm Practice
1:1 Matching Technique - Hungarian Algorithm Practice
After analyzing the input image to understand the overall color distribution, K-means clustering is applied to simplify the image into representative colors matching the number of tiles. Then, the difference between each tile and representative color is defined as a cost, and the Hungarian algorithm is used to optimally match colors and tiles in a 1:1 correspondence. Through this process, a photo mosaic is completed where color information and tiles are harmoniously combined, allowing for an intuitive understanding of the connection between image processing and optimization algorithms.
Who is this course right for?
Computer Vision & Image Processing Beginner
Developers and students interested in algorithms and optimization
Learners interested in data-driven visualization and media art
Need to know before starting?
Excel Basics
Python Basics
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Reviews
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4.7
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Courses
Hello
I am an office worker from a non-major background who is studying deep learning diligently.
I would like to share with you the things I've felt and learned while studying.
Thank you.
All
6 lectures ∙ (2hr 10min)
$4.40
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