์ด์ง„ ๋ถ„๋ฅ˜

์ด์ง„ ๋ถ„๋ฅ˜ (Binary Classification)

ํŠน์ • ๋Œ€์ƒ์ด ์žˆ์„ ๋•Œ ๊ทธ๊ฒƒ์ด A์ธ์ง€ non-A ์ธ์ง€ ํŒ๋‹จํ•˜๋Š” ๊ฒƒ

ex) cat or non-cat

์ด๋ฏธ์ง€ ๋‹ค๋ฃจ๊ธฐ

๋‹ค์ฐจ์› ๋ฐฐ์—ด์ธ ์ด๋ฏธ์ง€๋ฅผ ํ•™์Šต์— ์ด์šฉํ•  ๋•Œ ์•„๋ž˜์˜ C์˜์‚ฌ์ฝ”๋“œ ๊ฐ™์ด n์ฐจ์› ๋ฒกํ„ฐ๋กœ ๋ณ€ํ™˜ํ•ด์•ผ ํ•จ

char image[64][64][3];
// height, width, RGB

getCatImage(image);

char* vector = (char*)image;

sizeof(image) == 12288; // true

ํ›ˆ๋ จ ์„ธํŠธ X ๋Š” ์•„๋ž˜์™€ ๊ฐ™์€ ๋ชจ์–‘์œผ๋กœ ์กด์žฌํ•จ

X = [ vector_1, vector_2, ..., vector_m ]

// size of an element (vector) is 12288
// X matrix is (12288 * M)

ํ›ˆ๋ จ ์„ธํŠธ X์— ๋Œ€ํ•ด ์ •๋‹ต์ด ๋ผ๋ฒจ๋ง ๋˜์–ด์žˆ๋Š” Y ์„ธํŠธ

Y = [ y_1, y_2, ..., y_m ]
// Y matrix is (1 X m)