from tensorflow.keras import datasets, models from tensorflow.keras import Sequential, optimizers from tensorflow.keras.layers \ import Flatten, Dense, Conv2D, MaxPooling2D # MNIST 필기체 숫자 데이터세트 가져오기 (train_imgs, train_labels), (test_imgs, test_labels) \ = datasets.mnist.load_data() # 픽셀 값을 0~1 사이로 정규화 train_imgs, test_imgs \ = train_imgs / 255.0, test_imgs / 255.0 # Conv2D에 맞게 데이터 reshape train_..