theanet:使用 Theano 进行图像分类的卷积神经网络-源码

上传者: 42132056 | 上传时间: 2021-08-05 12:03:45 | 文件大小: 49KB | 文件类型: ZIP
网络 概述 使用 Theano 构建具有以下特征的卷积神经网络 输入的弹性失真和噪声 卷积层 带有 Dropout 的隐藏层,Maxnorm 正则化 各种输出层,如 Softmax、高斯混合等。 依赖关系 Python 3.0 西诺 pip 安装 git+git://github.com/Theano/Theano.git 示例用法 制作一个像 params/5numbers.prms 这样的文件来拥有一个定义你想要构建的 CNN 的字典。 使用 train.py 运行它 python3 train.py mnist params/mnist.prms 您自己的数据 使其适用于您自己的数据(称为galaxy数据)。 在数据目录(如mnist.py )中创建一个模块,名为galaxy.py ,加载时将具有以下四个属性。 training_x, training_y, testing_x,

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