[코딩애플] 모델 저장하기
1. 모델 전체 저장하기 import tensorflow as tf import numpy as np (trainX, trainY), (testX, testY) = tf.keras.datasets.fashion_mnist.load_data() trainX = trainX / 255.0 testX = testX / 255.0 trainX = trainX.reshape( (trainX.shape[0], 28,28,1) ) testX = testX.reshape( (testX.shape[0], 28,28,1) ) model = tf.keras.Sequential([ tf.keras.layers.Flatten(), tf.keras.layers.Dense(128, activation='relu'), tf.kera..
2023. 4. 24.