TF.Session场景说明
用户需要通过定义占位符、变量和算子等构成一张完整的计算图（Graph）。使用新建的Session实例启动模型运行，Session实例会分布式执行Graph，输入数据并根据优化算法更新变量，返回执行结果，即Tensor实例。使用TF.Session进行模型训练的定制化更强，用户可根据模型实际使用的训练方式进行适配修改。
训练流程介绍
图1 TF.Session训练流程图
父主题： 使用TF.Session训练
'%20fill='%23C31D20'%20fill-rule='nonzero'%3e%3cpath%20d='M7.55269822,13.7609409%20C10.8552199,9.97176134%2014.2271223,7.63452926%2017.1034483,6.5677512%20L17.0816429,0.884990191%20C17.0593112,0.508963963%2016.8188535,0.182653682%2016.4703158,0.055395956%20C16.1217781,-0.0718617705%2015.7322263,0.0244201241%2015.4799397,0.300178022%20L12.9584465,3.07097775%20L0.368821458,17.4916392%20C0.0232151224,17.8857306%20-0.0894678188,18.437454%200.0732192079,18.9389805%20C0.235906234,19.4405071%200.649247199,19.815643%201.15754056,19.9230783%20C1.66583392,20.0305135%202.19185783,19.853926%202.53746417,19.4598346%20L7.5467513,13.7690073%20L7.55269822,13.7609409%20Z'%20id='路径'%3e%3c/path%3e%3cpath%20d='M10.6896552,12.0927463%20L15.1004089,17.5535201%20C15.4511303,17.8402432%2015.9409156,17.8973222%2016.3502521,17.6991755%20C16.7595885,17.5010287%2017.0117165,17.0848129%2016.993637,16.6370685%20L17.1034483,10.0202479%20C14.5615201,9.75868982%2012.477139,10.7130773%2010.6896552,12.0927463%20Z'%20id='路径'%3e%3c/path%3e%3c/g%3e%3crect%20id='矩形'%20x='0'%20y='0'%20width='24'%20height='24'%3e%3c/rect%3e%3c/g%3e%3c/g%3e%3c/svg%3e)
文档
产品
昇腾计算产业概述
资源下载中心
固件与驱动
异构计算架构
昇腾推理引擎
全流程开发工具链
开发者
开发者主页
昇腾论坛主页
合作伙伴
登录生态伙伴中心
昇腾AI市场
市场主页
注册
