深度学习tensorflow tensorboard 的相关内容

阿里云文档 2024-09-10

部署NGC容器环境（基于TensorFlow）构建深度学习开发环境

NGC（NVIDIA GPU CLOUD）是NVIDIA开发的一套深度学习生态系统，方便您免费访问深度学习软件堆栈，建立适合深度学习的开发环境。本文以搭建TensorFlow深度学习框架为例，为您介绍如何在GPU实例上部署NGC环境以实现深度学习开发环境的预安装。

文章 2022-09-04 来自：开发者社区

深度学习：Tensorflow变量op和可视化TensorBoard

变量op变量也是一种op，是一种特殊的张量能够进行存储持久化，它的值就是张量，默认被训练变量op特点：1、变量op能够持久化保存，普通张量op是不行的2、当定义一个变量op的时候，一定要在会话中去运行初始化3、name参数，在tensorboard显示名字，区分相同op变量的创建tf.Variable(initial_value=NOne, name=None, trainable=True)赋....

文章 2022-05-29 来自：开发者社区

学习笔记 | 深度学习开发—TensorFlow实践(TensorBoard可视化工具)

TensorBoard是TensorFlow的可视化工具通过TensorFlow程序运行过程中输出的日志文件可视化TensorFlow程序的运行状态。TensorBoard和TensorFlow程序在不同的进程中案例：代码import tensorflow as tf#导入tensorflow模型 tf.reset_default_graph()#TensorBoard清楚默认图和不断增加的节.....

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