垃圾分类算法-阿里云

垃圾分类算法训练及部署

创建模型与编译数据加载进模型后定义模型结构，并优化损失函数。直接调用VGG-16模型作为卷积神经网络，包括13个卷积层、3个全连接层、5个池化层，后接全连接层，神经元数目为256，连接ReLU激活函数，再接全连接层，神经元个数为6，得到6维的特征向量，用于6个垃圾的分类训练，输入Softmax层进...

垃圾分类算法

垃圾分类算法基于TensorFlow和VGG-16卷积神经网络训练垃圾分类模型，通过服务器实现分类模型移植到移动端，并在微信小程序中进行应用。系统整体结构 Python环境安装Anconda 3...

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更新时间 2024-03-02 15:24:44

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