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
61
¦¦❶
l
1Àå) ÀΰøÁö´É ¼Ò°³
o
Á¤¼ºÈÆ
32
09-09
60
l
±â¸»°úÁ¦ ÃÖÁ¾º¸°í¼ ³»¿ë
Á¤¼ºÈÆ
2798
09-22
59
l
±â¸»°úÁ¦ ÃÖÁ¾¹ßÇ¥ ³»¿ë
Á¤¼ºÈÆ
2940
09-22
58
l
¿À·ù ¿ªÀüÆÄ ÇнÀ ¾Ë°í¸®Áò ¿¹
o
Á¤¼ºÈÆ
182
09-21
57
¦¦❶
l
A Step by Step Backpropagation Example
Á¤¼ºÈÆ
1660
08-10
56
l
Sigmoid activation ÇÔ¼ö ¹ÌºÐÁ¤¸®
Á¤¼ºÈÆ
2792
09-21
55
l
±â¸»°úÁ¦ Á¦¾È¹ßÇ¥ ³»¿ë
Á¤¼ºÈÆ
3094
09-21
54
l
ÅÙ¼ÇÃ·Î¿ì °ü·Ã ÀÚ·á
Á¤¼ºÈÆ
2044
09-18
53
¦¦❶
l
ÅÙ¼Ç÷Πù°ÉÀ½ (book)
Á¤¼ºÈÆ
1897
09-18
52
¦¦❷
l
¿øÀúÀÚ ¿ÀÇÂ book
Á¤¼ºÈÆ
1883
09-18
51
¦¦❷
l
¿¹Á¦ÄÚµå
Á¤¼ºÈÆ
1707
09-18
50
l
CNN °ü·Ã ÀÚ·á
Á¤¼ºÈÆ
1723
09-16
49
¦¦❶
l
Convolutional neural networks
Á¤¼ºÈÆ
1243
09-16
48
¦¦❶
l
Deep Convolutional Neural Networks for Image Classification
Á¤¼ºÈÆ
1771
09-16
47
¦¦❶
l
(@) Using Convolutional Neural Networks for Image Recognition
Á¤¼ºÈÆ
181
09-16
[1]
[2]
[3]
[4]
[
5
]
[6]
[7]
[8]
[9]
Á¦¸ñ
À̸§
³»¿ë
̵̧
Àüü
+ °Ë»ö tip : 1) ¹®ÀÚ¿°Ë»ö 2) OR(|) Á¶°Ç°Ë»ö 3) AND(&) Á¶°Ç°Ë»ö