生成对抗网络做生成手写数字
import tensorflow as tf import numpy as np from tensorflow import keras from tensorflow.keras import layers import matplotlib.pyplot as plt (train_images,train_labels),(test_images,test_labels)=tf.keras.datasets.mnist.load_data() train_images=train_images.reshape(train_images.shape[0],28,28,1).astyp
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