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recognition with Back Propogation neural network
Update : 2025-04-26 Size : 1.29mb Publisher : gyanendra

DL : 1
简单的人工神经网络实现,用C语言,训练算法是BP。-C Language applied simple artificial neural network,training method is back propogation
Update : 2025-04-26 Size : 2kb Publisher : 吴荣泉

DL : 0
BP 神经网络属于前向网络 以下为创建 BP 神经网络的方法及参数 。matlab神经网络工具箱 bpnn的一个matlab实现实例(代码 可用)- Back Propogation Neural Network (BPNN) Thread Subject ,Back Propogation Neural Network (BPNN) Subject
Update : 2025-04-26 Size : 1kb Publisher : 郭冬梅

DL : 0
Artificial Neural Network Plus Back Propogation
Update : 2025-04-26 Size : 270kb Publisher : minimaha

深度神经网络训练过程中:首先是进行初始化,根据需求设置神经网络的基本结构;然后进行前向传递(feedforward),层与层之间进行传递,求得误差;然后进行反向传播(back propogation),根据误差最小化原则,使用随机梯度下降法,对各个参数进行求导,确定下降方向,对各个参数进行更新(In the training process of deep neural network, firstly, initialization is carried out, and the basic structure of the neural network is set up according to the demand; secondly, feedforward is carried out, and errors are obtained by transferring between layers; then back propogation is carried out, and random gradient is used according to the principle of error minimization. The descent method is used to derive the parameters, determine the descent direction and update the parameters.)
Update : 2025-04-26 Size : 20.22mb Publisher : 春风吹又生
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