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本实验介绍了感知机和神经网络的基本概念,并且介绍了基于MindSpore深度学习框架实现它们的模型构建,通过学习,希望大家能掌握如下:
Jupyter Notebook开发环境,软件环境numpy、mindspore 1.7.0、python 3.7.5、matplotlib。
感知机作为神经网络(深度学习)的起源的算法,通过对其学习可以帮助我们更好的理解神经网络的部分工作原理。本次感知机的基本构建包括单个感知机的实现、单层感知机的实现以及多层感知机的实现,逐层递进。通过实验,希望同学们能够了解感知机的运行原理,同时掌握使用MindSpore深度学习框架实现感知机构建的方法。
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经过学习,我们已经了解了神经网络的运算原理及信号的传递过程。本实验我们以实现三层神经网络为例,演示在MindSpore框架下它的简单实现方法及前向传播过程。
实验步骤如下:
mlp和nn的构建
Jupyter Notebook
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