#mnist 다운로드 및 분석 import numpy as np from keras import datasets data_train,data_test = datasets.mnist.load_data() image_train, label_train = data_train image_test, label_test = data_test print("image_train의 구조:",image_train.shape) print("label_train의 구조:",label_train.shape) print("image_test의 구조:",image_test.shape) print("label_test의 구조:",label_test.shape) colcnt = len(image_train[0]) rowcnt = le..
