摘要: 1 import tensorflow as tf 2 from sklearn import datasets 3 import numpy as np 4 5 # 数据集导入 6 x_train = datasets.load_iris().data 7 y_train = datasets.l 阅读全文
posted @ 2020-04-12 14:25 sqdtss 阅读(443) 评论(0) 推荐(0)
摘要: 1 import tensorflow as tf 2 import matplotlib.pyplot as plt 3 import numpy as np 4 5 # 导入数据 6 mnist = np.load('mnist.npz') 7 x_train, y_train = mnist[ 阅读全文
posted @ 2020-04-12 14:24 sqdtss 阅读(373) 评论(0) 推荐(0)
摘要: 1 import tensorflow as tf 2 import numpy as np 3 from tensorflow.keras.utils import to_categorical 4 5 # 导入数据 6 mnist = np.load('mnist.npz') 7 x_train 阅读全文
posted @ 2020-04-12 14:23 sqdtss 阅读(236) 评论(0) 推荐(0)