DP4J -- mnist

标签(空格分隔): DeepLearning


mnist

mnist是一个数据集,其中包含很多手写数字的图片,每张图片都已经打上了label;

Deep Learning

传统的机器学习神经网络由一层输入层和一个输出层构成,中间最多还包含一个隐藏层。包括输入和输出层在内,超过三层的神经网络就被称为Deep Learning。所以Deep是一个严格的定义,在技术层面讲的话就是超过一层的隐藏层。
Traditional machine learning relies on shallow nets, composed of one input and one output layer, and at most one hidden layer in between. More than three layers (including input and output) qualifies as “deep” learning. So deep is a strictly defined, technical term that means more than one hidden layer.

如图所示:
此处输入图片的描述

层数越深,神经网络提取出来的特征就越高级,越具有语义信息。

原文地址:https://www.cnblogs.com/little-YTMM/p/6105952.html