摘要：
1 import tensorflow as tf 2 3 fashion = tf.keras.datasets.fashion_mnist 4 (x_train, y_train), (x_test, y_test) = fashion.load_data() 5 6 print(x_train 阅读全文
摘要：
1 import tensorflow as tf 2 from matplotlib import pyplot as plt 3 4 5 mnist = tf.keras.datasets.mnist 6 (x_train, y_train), (x_test, y_test) = mnist. 阅读全文
摘要：
1 import tensorflow as tf 2 from tensorflow.keras.layers import Dense 3 from tensorflow.keras import Model 4 from sklearn import datasets 5 import num 阅读全文
摘要：
1 import tensorflow as tf 2 from sklearn import datasets 3 import numpy as np 4 5 6 x_train = datasets.load_iris().data 7 y_train = datasets.load_iris 阅读全文
摘要：
1 # 利用鸢尾花数据集，实现前向传播、反向传播，可视化loss曲线 2 3 # 导入所需模块 4 import numpy as np 5 import tensorflow as tf 6 from sklearn import datasets 7 from matplotlib import 阅读全文