我的项目目录是:D:\ PycharmProjects \ MorvanL
我的代码是:
from __future__ import print_function
import tensorflow as tf
def add_layer(inputs, in_size, out_size, activation_function=None):
with tf.name_scope('layer'):
with tf.name_scope('weights'):
Weights = tf.Variable(tf.random_normal([in_size, out_size]), name='W')
with tf.name_scope('biases'):
biases = tf.Variable(tf.zeros([1, out_size]) + 0.1, name='b')
with tf.name_scope('Wx_plus_b'):
Wx_plus_b = tf.add(tf.matmul(inputs, Weights), biases)
if activation_function is None:
outputs = Wx_plus_b
else:
outputs = activation_function(Wx_plus_b, )
return outputs
# define placeholder for inputs to network
with tf.name_scope('inputs'):
xs = tf.placeholder(tf.float32, [None, 1], name='x_input')
ys = tf.placeholder(tf.float32, [None, 1], name='y_input')
# add hidden layer
l1 = add_layer(xs, 1, 10, activation_function=tf.nn.relu)
# add output layer
prediction = add_layer(l1, 10, 1, activation_function=None)
# the error between prediciton and real data
with tf.name_scope('loss'):
loss = tf.reduce_mean(tf.reduce_sum(tf.square(ys - prediction),reduction_indices=[1]))
with tf.name_scope('train'):
train_step = tf.train.GradientDescentOptimizer(0.1).minimize(loss)
sess = tf.Session()
writer = tf.summary.FileWriter("board/", sess.graph)
init = tf.global_variables_initializer()
sess.run(init)
运行代码后,没有错,
并且tensorboard文件出现在目录中:
但是当我在cmd中运行命令时,没有任何事情发生,为什么? 我该怎么办?: enter image description here
答案 0 :(得分:0)
根据https://www.tensorflow.org/get_started/summaries_and_tensorboard
的官方指南TensorBoard运行后,将您的Web浏览器导航到localhost:6006以查看TensorBoard。
因此,当您的cmd代码正在运行时,请打开浏览器并在地址栏中输入localhost:6006
以查看TensorBoard。