学习笔记深度学习开发tensorflow线性回归实战的相关内容

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 2022-05-29 来自：开发者社区

学习笔记 | 深度学习开发—TensorFlow实践(线性回归问题TensorFlow实战)

核心步骤1.准备数据2.构建数据3.训练模型4.进行预测线性方程单变量的线性方程可以表示为：y=w*x+b本例通过生成人工数据集。随机生成一个近似采样随机分布，使得w=2.0, b=1, 并加入一个噪声，噪声的最大振幅为0.4人工数据集生成import tensorflow as tf#载入tensorflow import numpy as np#载入numpy import matplot.....

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(线性回归 tensorflow实战)

监督式机器学习1.简单的线性回归案例确定y=w*x+b这样的方程，其中w和b的值2.术语：标签和特征标签：是我们要预测的真实事物：y,线性回归中的y变量特征：是指用于描述数据的输入变量：xi线性回归中的{x1,x2,x3,……,xn}变量3.样本和模型样本是指数据的特定实例：x有标签样本具有{特征，标签}：{x，y}：用于训练模型无标签样本具有{特征，？}：{x,?}:用于对新数据做出预测模型可....

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