Á¤¼ºÈÆ
    ±â¸»°úÁ¦ ÃÖÁ¾¹ßÇ¥ ³»¿ë



ÀΰøÁö´É ÃÖÁ¾¹ßÇ¥ ¹ßÇ¥³»¿ëÀº ´ÙÀ½ÀÇ »çÇ×À» Æ÷ÇÔÇÏ¿© ÁغñÇϱ⠹ٶø´Ï´Ù.

 

1) ÁÖÁ¦

2) Á¶¿ø

3) Á¦¾È³»¿ë (±â´ÉÆ÷ÇÔ)

4) ±¸Çö¹æ¹ý (ÀüüÀûÀÎ ±¸Çö scheme À» ¼³¸í)

5) ±¸Çö°á°ú (Á¦¾È³»¿ë°ú ºñ±³ÇÏ¿© ¼³¸í)  // ÇÊ¿ä½Ã µ¿ÀÛ µ¿¿µ»ó Æ÷ÇÔÇÏ¿© ¼³¸í

6) ±¸Çö½Ã ¾î·Á¿ü´ø Á¡

7) ¹ß»ýÇÑ ¹®Á¦Á¡ ¹× ÇØ°á¹æ¹ý

    ==> 6) 7)¹øÀ¸·Î º»ÀεéÀÌ Á÷Á¢Çß´ÂÁö¸¦ ÆÇ´ÜÇÒ °ÍÀÓ

 

* 5,6,7 ÇʼöÀÔ´Ï´Ù.

* ¹ßÇ¥ ½Ã ¼Ò½ºÄڵ嵵 ÁغñÇÕ´Ï´Ù. (Áú¹®ÇÏ¸é ¹Ù·Î º¸¿©ÁÙ ¼ö ÀÖµµ·Ï)

 

ÃÖÁ¾Æò°¡ ½Ã ¼Ò½ºÄÚµå È®ÀÎÇÔ!!!

 

 

  µî·ÏÀÏ : 2016-09-22 [18:57] Á¶È¸ : 2369 ´Ù¿î : 1   
 
¡â ÀÌÀü±Û±â¸»°úÁ¦ ÃÖÁ¾º¸°í¼­ ³»¿ë
¡ä ´ÙÀ½±Û¿À·ù ¿ªÀüÆÄ ÇнÀ ¾Ë°í¸®Áò ¿¹
ÀΰøÁö´É
¹øÈ£ ¨Ï Á¦ ¸ñ À̸§ Á¶È¸ µî·ÏÀÏ
ÀΰøÁö´É Âü°í »çÀÌÆ®
±â¸»°úÁ¦ ÁÖÁ¦ ¼±Á¤ ½Ã °í·ÁÇØ¾ß ÇÒ »çÇ×µé (°è¼Ó ¾÷µ¥ÀÌÆ®) ¡Ú¡Ú¡Ú
±â¸»°úÁ¦ ÁÖÁ¦ ¾ÆÀ̵ð¾î(°è¼Ó ¾÷µ¥ÀÌÆ®)
±â¸»°úÁ¦ ÁÖÁ¦ (°è¼Ó ¾÷µ¥ÀÌÆ®)
±â¸»°úÁ¦ Á¦¾È¹ßÇ¥ ³»¿ë
±â¸»°úÁ¦ ÃÖÁ¾¹ßÇ¥ ³»¿ë
±â¸»°úÁ¦ ÃÖÁ¾º¸°í¼­ ³»¿ë
57 ¦¦❶ l1Àå) ÀΰøÁö´É ¼Ò°³ ºñ°ø°³ Á¤¼ºÈÆ 31 09-09
56 ±â¸»°úÁ¦ ÃÖÁ¾º¸°í¼­ ³»¿ë Á¤¼ºÈÆ 2126 09-22
55 ±â¸»°úÁ¦ ÃÖÁ¾¹ßÇ¥ ³»¿ë Á¤¼ºÈÆ 2369 09-22
54 ¿À·ù ¿ªÀüÆÄ ÇнÀ ¾Ë°í¸®Áò ¿¹ ºñ°ø°³ Á¤¼ºÈÆ 182 09-21
53 ¦¦❶ lA Step by Step Backpropagation Example Á¤¼ºÈÆ 1285 08-10
52 Sigmoid activation ÇÔ¼ö ¹ÌºÐÁ¤¸® Á¤¼ºÈÆ 2239 09-21
51 ±â¸»°úÁ¦ Á¦¾È¹ßÇ¥ ³»¿ë Á¤¼ºÈÆ 2414 09-21
50 lÅÙ¼­ÇÃ·Î¿ì °ü·Ã ÀÚ·á Á¤¼ºÈÆ 1677 09-18
49 ¦¦❶ ÅÙ¼­Ç÷Πù°ÉÀ½ (book) Á¤¼ºÈÆ 1504 09-18
48    ¦¦❷ l¿øÀúÀÚ ¿ÀÇ book Á¤¼ºÈÆ 1413 09-18
47    ¦¦❷ l¿¹Á¦ÄÚµå Á¤¼ºÈÆ 1364 09-18
46 CNN °ü·Ã ÀÚ·á Á¤¼ºÈÆ 1353 09-16
45 ¦¦❶ Convolutional neural networks Á¤¼ºÈÆ 846 09-16
44 ¦¦❶ Deep Convolutional Neural Networks for Image Classification Á¤¼ºÈÆ 1392 09-16
43 ¦¦❶ (@) Using Convolutional Neural Networks for Image Recognition Á¤¼ºÈÆ 1322 09-16

[1][2][3][4][5][6][7][8]