可变多隐层神经网络Python实现的相关内容

文章 2017-10-24 来自：开发者社区

可变多隐层神经网络的python实现

说明：这是我对网上代码的改写版本，目的是使它跟前一篇提到的使用方法尽量一致，用起来更直观些。此神经网络有两个特点： 1、灵活性非常灵活，隐藏层的数目是可以设置的，隐藏层的激活函数也是可以设置的 2、扩展性扩展性非常好。目前只实现了一个学习方法：lm（Levenberg-Marquardt训练算法），你可以添加不同的学习方法到NeuralNetwork...

文章 2015-03-03 来自：开发者社区

可变多隐层神经网络的python实现

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更新时间 2022-10-28 15:26:49

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分布式计算框架 MaxCompute MaxFrame

MaxCompute MaxFrame 是阿里云自研分布式计算框架，支持 Python 编程接口并可直接使用 MaxCompute 计算资源及数据接口，与 MaxCompute Notebook、镜像管理等功能共同构成 MaxCompute 完整 Python 开发生态。

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可变多隐层神经网络的python实现

可变多隐层神经网络的python实现

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