실습 코드 import tensorflow as tf from tensorflow import keras from keras import layers def get_sequential_model(input_shape): model = keras.Sequential( [ # Input layers.Input(input_shape), # 1st Conv block layers.Conv2D(64, 3, strides=1, activation='relu', padding='same'), layers.Conv2D(64, 3, strides=1, activation='relu', padding='same'), layers.MaxPool2D(), # 이미지 사이즈 반으로 축소 layers.BatchNormalizat..