weixin_43474255的博客

tensorflow学习基础平面拟合import tensorflow as tfimport numpy as np#设置初始数据x_data = np.float32(np.random.rand(2,100))y_data = np.dot([0.100,0.200], x_data)+0.300#定义参数变量#tensorflow中所有的参数应该设置为Variable变...

import numpy as npimport tensorflow as tfimport matplotlib.pyplot as pltnum_point = 1000vet = []for i in range(num_point): x1 = np.random.normal(0.0,0.7) y1 = x1*0.2 + 0.3 + np.random.n...

import numpy as npimport tensorflow as tfimport matplotlib.pyplot as pltfrom tensorflow.examples.tutorials import input_data# import input_datamnist = input_data.read_data_sets('data/', one_hot...

import numpy as npimport tensorflow as tffrom tensorflow.examples.tutorials import input_datamnist = input_data.read_data_sets('data/', one_hot= True)#定义神经网络各层的神经元数量hidden1 = 256hidden2 = 128...

import numpy as npimport tensorflow as tfimport input_datamnist = input_data.read_data_sets('data/',one_hot=True)train_img = mnist.train.imagestrain_label = mnist.train.labelstest_img = mnist.t...

模型的保存import tensorflow as tfv1 = tf.Variable(tf.random_normal([1,2]),name='v1')v2 = tf.Variable(tf.random_normal([2,3]),name='v2')init = tf.global_variables_initializer()saver = tf.train.Sav...