ÅÙ¼Ç÷οìÀÇ Æ¯Â¡Àº ´ÙÀ½°ú °°´Ù.
1. ÅÙ¼Ç÷οì ÀÓÆ÷Æ® 2. Ç÷¹À̽ºÈ¦´õ Á¤ÀÇ 3. ÀÔ·Â µ¥ÀÌÅÍ Á¤ÀÇ 4. W, b º¯¼ö Á¤ÀÇ 5. ¸ðµ¨ ¼ö½Ä Á¤ÀÇ 6. ¼¼¼Ç »ý 7. ±Û·Îºí º¯¼ö ÃʱâÈ ¼¼¼Ç ½ÇÇà 8. ±×·¡ÇÁ ¼ö½Ä ¼¼¼Ç ½ÇÇà 9. ¼¼¼Ç ´Ý±â import tensorflow as tf //1. ÅÙ¼Ç÷οì ÀÓÆ÷Æ®
X = tf.placeholder(dtype=tf.float32) //2. Ç÷¹À̽ºÈ¦´õ Á¤ÀÇ x_data = [1, 2, 3, 4, 5] //3. ÀÔ·Â µ¥ÀÌÅÍ Á¤ÀÇ W = tf.Variable([10], dtype=tf.float32) //4. W, b º¯ Á¤ÀÇ b = tf.Variable([0], dtype=tf.float32) expr = X*W + b //5. ¸ðµ¨ ¼ö½Ä Á¤ÀÇ sess = tf.Session() //6. ¼¼¼Ç »ý¼º sess.run(tf.global_variables_initializer()) //7. ±Û·Îºí º¯¼ö ÃʱâÈ ¼¼¼Ç ½ÇÇà print(sess.run(expr, feed_dict={X: x_data})) //8. ±×·¡ÇÁ ¼ö½Ä ¼¼¼Ç ½ÇÇà sess.close() //9. ¼¼¼Ç ´Ý±â 1. ÅÙ¼Ç÷οì ÀÓÆ÷Æ® import tensorflow as tf ÅÙ¼Ç÷ο츦 »ç¿ëÇϱâ À§ÇØ tensorflow¸¦ ÀÓÆ÷Æ® ÇÑ´Ù. 2. Ç÷¹À̽ºÈ¦´õ Á¤ÀÇ placeholder´Â ÀԷ°ªÀ» ¹Þ±â À§ÇÑ ¸Å°³º¯¼ö·Î Á¤ÀÇÇϴ°ÍÀ¸·Î »ý°¢ÇÏ¸é µÈ´Ù. 3. ÀÔ·Â µ¥ÀÌÅÍ Á¤ÀÇ x_data = [1, 2, 3, 4, 5] placeholder X¿¡ ÀÔ·ÂÇÒ µ¥ÀÌÅ͸¦ Á¤ÀÇÇÑ´Ù. 4. W, b º¯¼ö Á¤ÀÇ W = tf.Variable([10], dtype=tf.float32) b = tf.Variable([0], dtype=tf.float32) º¯¼ö¸¦ Á¤ÀÇÇÏ°í W = 10, b = 0À» ÀÔ·ÂÇÑ´Ù. 5. ¸ðµ¨ ¼ö½Ä Á¤ÀÇ expr = X*W + b ±×·¡ÇÁÀÇ ¿¬»êÀ» Ç¥ÇöÇÑ´Ù. 6. ¼¼¼Ç »ý¼º ¼¼¼ÇÀ» »ý¼ºÇؼ ÅÙ¼ÇÃ·Î¿ì ±×·¡ÇÁ¸¦ ½ÇÇàÇÒ Áغñ¸¦ ÇÑ´Ù. 7. ±Û·Îºí º¯¼ö ÃʱâÈ ¼¼¼Ç ½ÇÇà global_variables_initializer() ÇÔ¼ö´Â ¾Õ¿¡¼ Á¤ÀÇµÈ º¯¼öµéÀ» ÃʱâÈ ÇÑ´Ù. ±âÁ¸ ÇнÀ µ¥ÀÌÅ͸¦ »ç¿ëÇÏÁö ¾Ê°í óÀ½ ½ÇÇàÇÑ´Ù¸é ¹Ýµå½Ã ÃʱâÈ ÇØ¾ß ÇÑ´Ù. 8. ±×·¡ÇÁ ¼ö½Ä ¼¼¼Ç ½ÇÇà ¼¼¼ÇÀ» ½ÇÇàÇÏ¸é ±×·¡ÇÁ ¿¬»êÀÌ ½ÇÇàÀÌ µÈ´Ù. sess.run() ±×·¡ÇÁ¸¦ ½ÇÇàÇÑ´Ù. feed_dict={X: x_data} feed_dict ¸Å°³º¯¼ö·Î ±×·¡ÇÁ¸¦ ½ÇÇàÇÒ¶§ placeholderÀÇ ÀԷ°ªÀ» ÁöÁ¤ÇÑ´Ù. 9. ¼¼¼Ç ´Ý±â sess.close() ÅÙ¼Ç÷ο츦 ´Ý´Â´Ù. °á°ú [10. 20. 30. 40. 50.]
Âü°í) Á¶´ëÇù´ÔÀÇ ÅÙ¼Ç÷οì-#1 ÀÚ·áÇüÀÇ ÀÌÇØ http://bcho.tistory.com/m/1150 ÅÙ¼Ç÷οì Æ©Å丮¾ó https://tensorflowkorea.gitbooks.io/tensorflow-kr/content/g3doc/get_started/basic_usage.html °ñºóÇØÄ¿ÀÇ 3ºÐ µö·¯´× - ÇѺû ¹Ìµð¾î |