MNIST 선형 회귀 import tensorflow as tf mnist = tf.keras.datasets.mnist (X, YT), (x, yt) = mnist.load_data() #60000개의 학습데이터, 10000개의 검증데이터 X, x = X/255, x/255 # 60000x28x28, 10000x28x28 X, x = X.reshape((60000,784)), x.reshape((10000,784)) model = tf.keras.Sequential([ tf.keras.Input(shape=(784,)), tf.keras.layers.Dense(512, activation='relu'), tf.keras.layers.Dense(256, activation='relu'), # 은닉화 tf..