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Major/Image Processing(+ai)6

aif1-2 Main terminologiesFeature : main property of data (e.g. height weight sex and ...)Feature vector : gather some features and express as a vector (height, weight)Scatter Plot : Visualize the datas into the dots in 2D, 3D spaceDecision Boundary : line, plane that seperates different classesLinear Classifier : A model that classifies data using a straight line or planeBinary Classification : Classif.. 2025. 6. 3.
aif1-1 1. AI, ML, DLAI : the mimic of human intelligence like thinking, determination, learning (auto-driving tech, chatbot, llm translator)ML : kind of AI, no specific programming, just learning patterns with datas. Computer increase performance using data, experience. e.g. : spam filter -> it can automatically classify the spam mail with lots of spam mail data.DL : kind of ML, using Nueral Network w.. 2025. 6. 3.
aif2 study 1. What is the MNIST DATASET?Mnist means the kind of image dataset of handwriting for numbers(0 to 9)America NIST provided this and MNIST is the updated version from this data modelComprision : Image Size : 28x28=784 pixels Each pixel has 0 to 255 brightness value (0 : black, 255: white) Training Data : 60,000 No. of Test datas: 10, 000Purpose of the use : we use MNIST to evaluate and measu.. 2025. 6. 3.
지능형 영상처리 필기정리 - (3) 2025. 6. 3.
지능형 영상처리 필기정리 - (2) 2025. 5. 27.
지능형 영상처리 필기정리 (1) 2025. 5. 26.

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