摘要: 1 #设置随机种子 2 seed = 7 3 numpy.random.seed(seed) 4 5 #加载数据 6 (X_train,y_train),(X_test,y_test) = mnist.load_data() 7 #print(X_train.shape[0]) 8 9 #数据集是3维的向量(instance length,width,height).对... 阅读全文
posted @ 2019-03-23 21:52 Professor_David 阅读(571) 评论(0) 推荐(0) 编辑