Optimization algorithms used for training of deep models differ from traditional optimization algorithms in several waysMachine learning usually acts most machine learning scenarios, we care about some performance measureP PP, that is defined with respect to the test set and may also be intractable We therefore optimizeP PPonly indirectly We reduce a different cost functionJ ( θ ) J(\boldsymbol{\thet

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models里面是模型,ORM对象关系映射,面向对象访问数据库,不写sql。 说明: 类变量: 常用字段,需要引入 from odoo import fields 定义对象类型基础类型:char, text, boolean, integer, float, date, time, datetime 新闻赞助商简洁模式退出登录登录hellosen 订阅管理odoo12--models模型 models里面是模型,ORM对象关系映射,面向对象访问数据库,不写sql。 说明: 一个类就是一张表 继承, 类变量: 常用字段,需要引入 from

Month2Month0Month1 2Deterministic LPderive productionplan thecurrent month production plan themonth forecastdemand M-monthout andre-forecast SolvingtheInventoryProblem SolvingtheInventoryProblem •Findaneconomicalsafetystockfactorfor eachpr s-1 0][ , = ts Eε ConditionalExpectationasBestMean- SquarePredictorofD t,t ConditionalExpectationasBestMean- SquarePredictorofD t,t UsingthebestMean-squarepredictor definitionofconditionalprobability 0])[(])[( ,,,, =−=−wDDEwDDE tstttutt uatobservedvrw∈∀ Then 0 ] ) [( ] ) [( , , , , = − = −

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