tf14_Tensorboard.py

tf14_Tensorboard.py

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+#tensorflow
+#tf14_Tensorboard.py
+import tensorflow as tf
+
+def add_layer(inputs,in_size,out_size,activation_function=None):
+
+       # add one more layer and return the output of this layer
+      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()
+
+# tf.train.SummaryWriter soon be deprecated, use following
+if int((tf.__version__).split('.')[1]) < 12 and int((tf.__version__).split('.')[0]) < 1:  # tensorflow version < 0.12
+    writer = tf.train.SummaryWriter('logs/', sess.graph)
+else: # tensorflow version >= 0.12
+    writer = tf.summary.FileWriter("logs/", sess.graph)
+
+
+# tf.initialize_all_variables() no long valid from
+# 2017-03-02 if using tensorflow >= 0.12
+if int((tf.__version__).split('.')[1]) < 12 and int((tf.__version__).split('.')[0]) < 1:
+    init = tf.initialize_all_variables()
+else:
+    init = tf.global_variables_initializer()
+sess.run(init)
+
+
+##'''
+##enter cmd
+##C:\Users\Administrator\AppData\Local\Programs\Python\Python35\Scripts>tensorboard --logdir='C:\DATA\Data_Katychou\Python\Tensorflow\logs\'
+##Starting TensorBoard b'47' at http://0.0.0.0:6006
+##http://localhost:6006
+##(Press CTRL+C to quit)
+##'''
+
+