import keras fm = keras.datasets.fashion_mnist (trainImage, trainLabel), (testImage, testLabel)= fm.load_data() import pandas as pd import numpy as np from keras.preprocessing.image import * from keras.utils import to_categorical from sklearn.model_selection import train_test_split import matplotlib.pyplot as plt import random import os # 검증데이터 분리 trainImage, valImage= train_test_split(trainImag..

from keras.datasets import mnist from keras.utils import np_utils import numpy as np import sys 데이터 셋 준비 import keras fm = keras.datasets.fashion_mnist (trainImage, trainLabel), (testImage, testLabel)= fm.load_data() xTrain=trainImage.reshape(xTrain.shape[0],28,28,1) xTrain=xTrain.astype("float64") xTrain=xTrain/255 xTest=testImage.reshape(xTest.shape[0],28,28,1).astype("float64")/255 yTrain=np_..