ã¯ããã« Deep Learningã§ç»åã精度ããåé¡ããã«ã¯ã¨ã«ããææ°ãå¿ è¦ã§ãããããã大éã®ç»åããã¹ã¦æä½æ¥ã§ç¨æã»ã¿ã°ä»ãããã®ã¯å°é£ã§ããããã§ãã¿ã°ä»ããããç»åãå å·¥ãããã¨ã§ç»åã®ææ°ãå¢ãã(æ°´å¢ããã)ãã¨ãè¡ããã¾ãã ä»åã¯ãæ°´å¢ãããããã«ã©ã®ãããªãã¨ãããã®ããTensorFlowã®ã³ã¼ãããå¦ã³ããã¨æãã¾ãã å ·ä½çã«ã¯CIFAR-10ã®ã³ã¼ãããå¦ãã§ããã¾ãã cifar10/cifar10_input.py å®éã®ã³ã¼ãã§ã¯ä»¥ä¸ã®ããã«è¤æ°ã®å¦çãçµã¿åããã¦ç»åã®æ°´å¢ããè¡ã£ã¦ãã¾ããã # Image processing for training the network. Note the many random # distortions applied to the image. # Randomly crop a [height,
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