tf.Session()、tf.InteractiveSession()

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tf.Session()、tf.InteractiveSession()

tf.Session()和tf.InteractiveSession()的区别官方tutorial是这么说的: The only difference with a regular Session is that an InteractiveSession installs itself as the default session on construction. The methods Tensor.eval() and Operation.run() will use that sess…

tensorflow函数解析： tf.Session() 和tf.InteractiveSession()

链接如下: http://stackoverflow.com/questions/41791469/difference-between-tf-session-and-tf-interactivesession 英文 Question: Questions says everything, for taking sess= tf.Session() and sess=tf.InteractiveSession() which cases should be considered for what…

tf.Variable()、tf.get_variable()和tf.placeholder()

1.tf.Variable() tf.Variable(initializer,name) 功能:tf.Variable()创建变量时,name属性值允许重复,检查到相同名字的变量时,由自动别名机制创建不同的变量. 参数: initializer:初始化参数: name:可自定义的变量名称举例: import tensorflow as tf v1=tf.Variable(tf.random_normal(shape=[2,3],mean=0,stddev=1),name='v1') v2=t…

deep_learning_Function_tf.add()、tf.subtract()、tf.multiply()、tf.div()

tf.add().tf.subtract().tf.multiply().tf.div()函数介绍和示例 1. tf.add() 释义:加法操作示例: x = tf.constant(2, dtype=tf.float32, name=None) y = tf.constant(3, dtype=tf.float32, name=None) z = tf.add(x, y) # 加法操作 X = tf.constant([[1, 2, 3], [4, 5, 6]], dtype=tf.floa…

通俗理解tf.name_scope()、tf.variable_scope()

前言:最近做一个实验,遇到TensorFlow变量作用域问题,对tf.name_scope().tf.variable_scope()等进行了较为深刻的比较,记录相关笔记:tf.name_scope().tf.variable_scope()是两个作用域函数,一般与两个创建/调用变量的函数tf.variable() 和tf.get_variable()搭配使用.常用于:1)变量共享:2)tensorboard画流程图进行可视化封装变量.通俗理解就是:tf.name_scope().tf.vari…

tf.Session()和tf.InteractiveSession()的区别

官方tutorial是这么说的: The only difference with a regular Session is that an InteractiveSession installs itself as the default session on construction. The methods Tensor.eval() and Operation.run() will use that session to run ops. 翻译一下就是:tf.InteractiveSes…