필터의 갯수를 줄이고 cifar10 데이터 셋 학습하기(cifar10으로 데이터 셋 바꾸기) import tensorflow as tf mnist=tf.keras.datasets.cifar10 (x_train, y_train),(x_test, y_test)=mnist.load_data() x_train, x_test = x_train / 255.0, x_test / 255.0 model = tf.keras.Sequential([ tf.keras.layers.InputLayer(input_shape=(28,28,1)), tf.keras.layers.Conv2D(32,(3,3),activation='relu', padding='same'), tf.keras.layers.MaxPool2D((2,2)), tf...