建造神经网络 build a neural network
code
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | import tensorflow as tf import numpy as np def add_layer(inputs, in_size, out_size, activation_function=None): Weights =tf.Variable(tf.random_normal([in_size,out_size])) biases = tf.Variable(tf.zeros([1,out_size])+0.1) Wx_plus_b = tf.matmul(inputs, Weights)+biases if activation_function is None: outputs = Wx_plus_b else: outputs = activation_function(Wx_plus_b) return outputs x_data = np.linspace(-1,1,300)[:,np.newaxis] noise = np.random.normal(0,0.05,x_data.shape) y_data = np.square(x_data)-0.5+noise xs = tf.placeholder(tf.float32,[None,1]) ys = tf.placeholder(tf.float32,[None,1]) l1 =add_layer(xs,1,10,activation_function=tf.nn.relu) prediction = add_layer(l1,10,1,activation_function=None) #predition和真实值y_data chabie loss = tf.reduce_mean(tf.reduce_sum(tf.square(ys-prediction), reduction_indices=[1])) train_step = tf.train.GradientDescentOptimizer(0.1).minimize(loss) init = tf.global_variables_initializer() sess = tf.Session() sess.run(init) for i in range(1000): sess.run(train_step,feed_dict={xs:x_data,ys:y_data}) if i % 50==0: print(sess.run(loss,feed_dict={xs:x_data,ys:y_data})) |
运行过程中出现的error
1、biases is not define
处理方法使用sess.run(global_variables_initializer()初始化,
其次重新写biases这一行,
2、语法缩减错误。
40 print括号与{}的问题。