Á¤¼ºÈÆ
    CNN, Convolution Neural Network ¿ä¾à
  http://taewan.kim/post/cnn/



  µî·ÏÀÏ : 2018-10-17 [14:55] Á¶È¸ : 1153 ´Ù¿î : 0   
 
¡â ÀÌÀü±ÛCNN ÄÁ¹ú·ç¼Ç µ¿ÀÛ ¼³¸í
¡ä ´ÙÀ½±ÛÀÚÀ²ÁÖÇà °ü·Ã ÀÚ·á
ÀΰøÁö´É
¹øÈ£ ¨Ï Á¦ ¸ñ À̸§ Á¶È¸ µî·ÏÀÏ
lÀΰøÁö´É Âü°í »çÀÌÆ®
l±â¸»°úÁ¦ ÁÖÁ¦ ¼±Á¤ ½Ã °í·ÁÇØ¾ß ÇÒ »çÇ×µé (°è¼Ó ¾÷µ¥ÀÌÆ®) ¡Ú¡Ú¡Ú
l±â¸»°úÁ¦ ÁÖÁ¦ ¾ÆÀ̵ð¾î(°è¼Ó ¾÷µ¥ÀÌÆ®)
l±â¸»°úÁ¦ ÁÖÁ¦ (°è¼Ó ¾÷µ¥ÀÌÆ®)
l±â¸»°úÁ¦ Á¦¾È¹ßÇ¥ ³»¿ë
l±â¸»°úÁ¦ ÃÖÁ¾¹ßÇ¥ ³»¿ë
l±â¸»°úÁ¦ ÃÖÁ¾º¸°í¼­ ³»¿ë
91 ¦¦❶ lIntroduction to Deep Learning with TensorFlow Á¤¼ºÈÆ 1240 06-02
90 ¦¦❶ TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Á¤¼ºÈÆ 1224 06-02
89 ¦¦❶ Neural Networks for Beginners Á¤¼ºÈÆ 1192 06-02
88 l¸®´ª½º¼­¹ö Á¤º¸ ºñ°ø°³o Á¤¼ºÈÆ 41 11-25
87 ¦¦❶ tensorflow ±¸µ¿ ºñ°ø°³o Á¤¼ºÈÆ 26 12-02
86    ¦¦❷ lteamviewer »ç¿ë ¹æ¹ý ºñ°ø°³o Á¤¼ºÈÆ 26 12-02
85 Schema Theorem Á¤¸® ºñ°ø°³o Á¤¼ºÈÆ 46 11-22
84 CNN ±¸Á¶ ¼³¸í ºñ°ø°³o Á¤¼ºÈÆ 157 11-10
83 ¦¦❶ CNN ÄÁ¹ú·ç¼Ç µ¿ÀÛ ¼³¸í Á¤¼ºÈÆ 934 10-17
82 ¦¦❶ lCNN, Convolution Neural Network ¿ä¾à Á¤¼ºÈÆ 1153 10-17
81 ÀÚÀ²ÁÖÇà °ü·Ã ÀÚ·á Á¤¼ºÈÆ 1388 11-02
80 ¦¦❶ lEnd to End Learning for Self-Driving Cars Á¤¼ºÈÆ 2097 11-02
79 2016 ÀΰøÁö´É ±â¸»°úÁ¦ Á¶Æí¼º ¹× ÁÖÁ¦ Á¤¼ºÈÆ 1739 10-26
78 SOFM ÇнÀ ¾Ë°í¸®Áò ¿¹ ºñ°ø°³o Á¤¼ºÈÆ 102 10-13
77 ¦¦❶ Lecture 18 - Kohonen SOM Á¤¼ºÈÆ 1467 11-10

[1][2][3][4][5][6][7][8][9]