Euisuk's Dev Log

ใ€Œ์„œ์ฟ  ๊ฐœ๋ฐœ๋…ธํŠธโญใ€

[ํŒŒ์ดํ† ์น˜] ํŒŒ์ดํ† ์น˜๋กœ CNN ๋ชจ๋ธ์„ ๊ตฌํ˜„ํ•ด๋ณด์ž! (ResNetํŽธ)

[ํŒŒ์ดํ† ์น˜] ํŒŒ์ดํ† ์น˜๋กœ CNN ๋ชจ๋ธ์„ ๊ตฌํ˜„ํ•ด๋ณด์ž! (ResNetํŽธ) ์•ˆ๋…•ํ•˜์„ธ์š”! ์ง€๋‚œ๋ฒˆ ํฌ์ŠคํŠธ์ธ VGGNet๊ณผ GoogleNet ์ดํ›„๋กœ ์˜ค๋Š˜์€ ResNet ๊ด€๋ จ ํฌ์ŠคํŠธ์ž…๋‹ˆ๋‹ค. 2๋ฒˆ์— ๊ฑธ์นœ ํฌ์ŠคํŒ…์—์„œ ์†Œ๊ฐœ๋“œ๋ ธ๋‹ค์‹œํ”ผ ์ปดํ“จํ„ฐ ๋น„์ „ ๋Œ€ํšŒ ์ค‘์— ILSVRC (Imagenet Large Scale Visual Recognition Challenges)์ด๋ผ๋Š” ...

[ํŒŒ์ดํ† ์น˜] ํŒŒ์ดํ† ์น˜๋กœ CNN ๋ชจ๋ธ์„ ๊ตฌํ˜„ํ•ด๋ณด์ž! (GoogleNetํŽธ)

[ํŒŒ์ดํ† ์น˜] ํŒŒ์ดํ† ์น˜๋กœ CNN ๋ชจ๋ธ์„ ๊ตฌํ˜„ํ•ด๋ณด์ž! (GoogleNetํŽธ) ์•ˆ๋…•ํ•˜์„ธ์š”! ์ง€๋‚œ๋ฒˆ ํฌ์ŠคํŠธ์ธ VGGNet ์ดํ›„๋กœ ์˜ค๋Š˜์€ GoogleNet ๊ด€๋ จ ํฌ์ŠคํŠธ์ž…๋‹ˆ๋‹ค. ๋‹ค์Œ ํฌ์ŠคํŠธ๋Š” ResNet์œผ๋กœ ์ฐพ์•„๋ต™๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค. ์ง€๋‚œ๋ฒˆ์—๋„ ์†Œ๊ฐœ๋“œ๋ ธ๋‹ค์‹œํ”ผ ์ปดํ“จํ„ฐ ๋น„์ „ ๋Œ€ํšŒ ์ค‘์— ILSVRC (Imagenet Large Scale Visual Recogniti...

[ํŒŒ์ดํ† ์น˜] ํŒŒ์ดํ† ์น˜๋กœ CNN ๋ชจ๋ธ์„ ๊ตฌํ˜„ํ•ด๋ณด์ž! (VGGNetํŽธ)

[ํŒŒ์ดํ† ์น˜] ํŒŒ์ดํ† ์น˜๋กœ CNN ๋ชจ๋ธ์„ ๊ตฌํ˜„ํ•ด๋ณด์ž! (VGGNetํŽธ) ์•ˆ๋…•ํ•˜์„ธ์š”! ์˜ค๋Š˜ ํฌ์ŠคํŒ…๋ถ€ํ„ฐ ๋‹ค์Œ๋‹ค์Œ ํฌ์ŠคํŒ…๊นŒ์ง€๋Š” CNN ๋ชจ๋ธ์˜ ๋ผˆ๋Œ€๊ฐ€ ๋˜๋Š” ๋ชจ๋ธ๋“ค์ธ VGGNet, GoogleNet, ResNet์„ ์†Œ๊ฐœํ•˜๊ณ  ์ด๋ฅผ ๊ตฌํ˜„ํ•ด๋ณด๋Š” ์‹œ๊ฐ„์„ ๊ฐ–๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค! :) ์ด๋ฒˆ ํฌ์ŠคํŒ…์€ VGGNet ๊ด€๋ จ ํฌ์ŠคํŠธ์ž…๋‹ˆ๋‹ค. ๋จผ์ € ILSVRC (Imagenet Larg...

[ํŒŒ์ดํ† ์น˜] ํŒŒ์ดํ† ์น˜๋กœ CNN ๋ชจ๋ธ์„ ๊ตฌํ˜„ํ•ด๋ณด์ž! (๊ธฐ์ดˆํŽธ + DataLoader ์‚ฌ์šฉ๋ฒ•)

[ํŒŒ์ดํ† ์น˜] ํŒŒ์ดํ† ์น˜๋กœ CNN ๋ชจ๋ธ์„ ๊ตฌํ˜„ํ•ด๋ณด์ž! (๊ธฐ์ดˆํŽธ + DataLoader ์‚ฌ์šฉ๋ฒ•) MNIST ๋ฐ์ดํ„ฐ - CNN ์‹ค์Šต ์˜ค๋Š˜์€ MNIST ๋ฐ์ดํ„ฐ๋กœ Convolutional Neural Network(์ดํ•˜ CNN)์„ ๊ตฌํ˜„ํ•˜๊ณ  ๋Œ๋ ค๋ณด๋Š” ์‹œ๊ฐ„์„ ๊ฐ–๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค! ๋จผ์ €, CNN์€ ํฌ๊ฒŒ ์•„๋ž˜์™€ ๊ฐ™์€ ๊ตฌ์„ฑ์š”์†Œ๋กœ ์ด๋ฃจ์–ด์ ธ ์žˆ์Šต๋‹ˆ๋‹ค. ํ•ฉ์„ฑ๊ณฑ ์—ฐ์‚ฐ...

[๋จธ์‹ ๋Ÿฌ๋‹] ์ด์ƒ ํƒ์ง€ ๊ฐœ์š” ๋ฐ ๋ฐ€๋„ ๊ธฐ๋ฐ˜ ์ด์ƒ์น˜ํƒ์ง€

[๋จธ์‹ ๋Ÿฌ๋‹] ์ด์ƒ ํƒ์ง€ ๊ฐœ์š” ๋ฐ ๋ฐ€๋„ ๊ธฐ๋ฐ˜ ์ด์ƒ์น˜ํƒ์ง€ ๋ณธ ํฌ์ŠคํŠธ๋Š” ๊ณ ๋ ค๋Œ€ํ•™๊ต ๊ฐ•ํ•„์„ฑ ๊ต์ˆ˜๋‹˜์˜ ๊ฐ•์˜๋ฅผ ์ˆ˜๊ฐ• ํ›„ ์ •๋ฆฌ๋ฅผ ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ž‘์„ฑ ๋ฐ ์„ค๋ช…์˜ ํŽธ์˜๋ฅผ ์œ„ํ•ด ์•„๋ž˜ ํฌ์ŠคํŠธ๋Š” ๋ฐ˜๋ง๋กœ ์ž‘์„ฑํ•œ ์  ์–‘ํ•ด๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค. Abnormal Data๋ž€ Anomaly Data๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์ด Hawkins์™€ Harmeling์— ์˜ํ•ด ์ •์˜๋œ๋‹ค. Obse...

[๋จธ์‹ ๋Ÿฌ๋‹] ๊ฑฐ๋ฆฌโ€ข๊ตฐ์ง‘โ€ข์„œํฌํŠธ๋ฒกํ„ฐ ๊ธฐ๋ฐ˜ ์ด์ƒํƒ์ง€ ๊ธฐ๋ฒ•

[๋จธ์‹ ๋Ÿฌ๋‹] ๊ฑฐ๋ฆฌโ€ข๊ตฐ์ง‘โ€ข์„œํฌํŠธ๋ฒกํ„ฐ ๊ธฐ๋ฐ˜ ์ด์ƒํƒ์ง€ ๊ธฐ๋ฒ• ๋ณธ ํฌ์ŠคํŠธ๋Š” ๊ณ ๋ ค๋Œ€ํ•™๊ต ๊ฐ•ํ•„์„ฑ ๊ต์ˆ˜๋‹˜์˜ ๊ฐ•์˜๋ฅผ ์ˆ˜๊ฐ• ํ›„ ์ •๋ฆฌ๋ฅผ ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ž‘์„ฑ ๋ฐ ์„ค๋ช…์˜ ํŽธ์˜๋ฅผ ์œ„ํ•ด ์•„๋ž˜ ํฌ์ŠคํŠธ๋Š” ๋ฐ˜๋ง๋กœ ์ž‘์„ฑํ•œ ์  ์–‘ํ•ด๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๊ฑฐ๋ฆฌ ๊ธฐ๋ฐ˜ ์ด์ƒ์น˜ํƒ์ง€ K-Nearest Neighbor-based Anomaly Detection ๊ฐ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•œ Anomaly ...

[Paper Review] An Image Is Worth 16x16 Words : Transformers for Image Recognition at Scale (Vision Transformer)

[Paper Review] An Image Is Worth 16x16 Words : Transformers for Image Recognition at Scale (Vision Transformer) ์„ ์ • ์ด์œ  ์•ˆ๋…•ํ•˜์„ธ์š”! ์˜ค๋Š˜ ๋…ผ๋ฌธ๋ฆฌ๋ทฐ, ์ฝ”๋“œ๋ฆฌ๋ทฐํ•ด๋ณผ ๋…ผ๋ฌธ์€ โ€œAn Image Is Worth 16x16 Words: Transformers for I...

[Paper Review] An Architecture Combining Convolutional Neural Network(CNN) and Support Vector Machine(SVM) for Image Classification

[Paper Review] An Architecture Combining Convolutional Neural Network(CNN) and Support Vector Machine(SVM) for Image Classification ์˜ค๋Š˜ ๋ฆฌ๋ทฐ/๋ฒˆ์—ญ/๊ตฌํ˜„ํ•  ๋…ผ๋ฌธ์€ โ€œAbien Fred M. Agarapโ€ ์ €์ž๊ฐ€ ์“ด ๋…ผ๋ฌธ์œผ๋กœ, โ€œYichuan Tan...

[์•Œ๊ณ ๋ฆฌ์ฆ˜] ๊ทธ๋ž˜ํ”„

[์•Œ๊ณ ๋ฆฌ์ฆ˜] ๊ทธ๋ž˜ํ”„ ์˜ค๋Š˜์€ ์•Œ๊ณ ๋ฆฌ์ฆ˜/์ž๋ฃŒ๊ตฌ์กฐ๋ฅผ ๊ณต๋ถ€ํ•˜๋ฉด์„œ ํ‰์†Œ ๋‘๋ ค์›€์— ๋–จ๋ฉฐ ์ œ๋Œ€๋กœ ๊ณต๋ถ€ํ•˜์ง€ ๋ชปํ–ˆ๋˜ ๊ทธ๋ž˜ํ”„์— ๋Œ€ํ•ด ๊ณต๋ถ€๋ฅผ ํ•˜๋ฉฐ ์ •๋ฆฌํ•ด๋ณด์•˜์Šต๋‹ˆ๋‹ค. ๊ณต๋ถ€ํ•˜๋ฉฐ ์ž‘์„ฑํ•œ ๊ธ€์ด๋ฏ€๋กœ ๋ฐ˜๋ง์ด์–ด๋„ ์–‘ํ•ด๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๊ทธ๋ž˜ํ”„ ๊ทธ๋ž˜ํ”„๋ž€? ๊ทธ๋ž˜ํ”„๋Š” ๊ฐ€์žฅ ์ผ๋ฐ˜ํ™”๋œ ์ž๋ฃŒ๊ตฌ์กฐ๋กœ, ์—ฐ๊ฒฐ๋œ ๊ฐ์ฒด๋“ค ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ์ž˜ ํ‘œํ˜„ํ•จ. ๊ทธ๋ž˜ํ”„ ์ด๋ก  ์ผ...

[๋จธ์‹ ๋Ÿฌ๋‹][์‹œ๊ณ„์—ด] AR, MA, ARMA, ARIMA์˜ ๋ชจ๋“  ๊ฒƒ - ์‹ค์ŠตํŽธ

[๋จธ์‹ ๋Ÿฌ๋‹][์‹œ๊ณ„์—ด] AR, MA, ARMA, ARIMA์˜ ๋ชจ๋“  ๊ฒƒ - ์‹ค์ŠตํŽธ ๋ณธ ํฌ์ŠคํŒ…์€ ์‹ค์ œ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ์‹œ๊ณ„์—ด ๋ถ„์„์˜ ์ „๋ฐ˜์ ์ธ ํ”„๋กœ์„ธ์Šค ๊ณผ์ •์„ ๋‹ด๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋ถ„์„ ํŒ์ด๋‚˜ ํ”ผ๋“œ๋ฐฑ์€ ์–ธ์ œ๋‚˜ ํ™˜์˜์ž…๋‹ˆ๋‹ค!! ๐Ÿ™‡โ€โ™‚๏ธ ๋ถ„์„์˜ ์ˆœ์„œ๋Š” ์•„๋ž˜์™€ ๊ฐ™์Šต๋‹ˆ๋‹ค. ํ•ด๋‹น ๋ถ„์„์€ ์•ž์—์„œ ๋‹ค๋ฃฌ ์‹œ๊ณ„์—ด ๊ฐœ๋…์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•œ ๊ฒƒ์ด๋ฏ€๋กœ ๊ฐœ๋…์„ ์ฐพ์•„๋ณด๊ณ  ์‹ถ๋‹ค๋ฉด ์ œ...