CAFFE CIFAR10 MODEL IMAGE 之 cifar10 quick
来源:互联网 发布:移动硬盘盒知乎 编辑:程序博客网 时间:2024/04/30 05:01
cifar10_quick.proto
name: "CIFAR10_quick"layer { name: "cifar" type: "Data" top: "data" top: "label" include { phase: TRAIN } transform_param { mean_file: "examples/cifar10/mean.binaryproto" } data_param { source: "examples/cifar10/cifar10_train_lmdb" batch_size: 100 backend: LMDB }}layer { name: "cifar" type: "Data" top: "data" top: "label" include { phase: TEST } transform_param { mean_file: "examples/cifar10/mean.binaryproto" } data_param { source: "examples/cifar10/cifar10_test_lmdb" batch_size: 100 backend: LMDB }}layer { name: "conv1" type: "Convolution" bottom: "data" top: "conv1" param { lr_mult: 1 } param { lr_mult: 2 } convolution_param { num_output: 32 pad: 2 kernel_size: 5 stride: 1 weight_filler { type: "gaussian" std: 0.0001 } bias_filler { type: "constant" } }}layer { name: "pool1" type: "Pooling" bottom: "conv1" top: "pool1" pooling_param { pool: MAX kernel_size: 3 stride: 2 }}layer { name: "relu1" type: "ReLU" bottom: "pool1" top: "pool1"}layer { name: "conv2" type: "Convolution" bottom: "pool1" top: "conv2" param { lr_mult: 1 } param { lr_mult: 2 } convolution_param { num_output: 32 pad: 2 kernel_size: 5 stride: 1 weight_filler { type: "gaussian" std: 0.01 } bias_filler { type: "constant" } }}layer { name: "relu2" type: "ReLU" bottom: "conv2" top: "conv2"}layer { name: "pool2" type: "Pooling" bottom: "conv2" top: "pool2" pooling_param { pool: AVE kernel_size: 3 stride: 2 }}layer { name: "conv3" type: "Convolution" bottom: "pool2" top: "conv3" param { lr_mult: 1 } param { lr_mult: 2 } convolution_param { num_output: 64 pad: 2 kernel_size: 5 stride: 1 weight_filler { type: "gaussian" std: 0.01 } bias_filler { type: "constant" } }}layer { name: "relu3" type: "ReLU" bottom: "conv3" top: "conv3"}layer { name: "pool3" type: "Pooling" bottom: "conv3" top: "pool3" pooling_param { pool: AVE kernel_size: 3 stride: 2 }}layer { name: "ip1" type: "InnerProduct" bottom: "pool3" top: "ip1" param { lr_mult: 1 } param { lr_mult: 2 } inner_product_param { num_output: 64 weight_filler { type: "gaussian" std: 0.1 } bias_filler { type: "constant" } }}layer { name: "ip2" type: "InnerProduct" bottom: "ip1" top: "ip2" param { lr_mult: 1 } param { lr_mult: 2 } inner_product_param { num_output: 10 weight_filler { type: "gaussian" std: 0.1 } bias_filler { type: "constant" } }}layer { name: "accuracy" type: "Accuracy" bottom: "ip2" bottom: "label" top: "accuracy" include { phase: TEST }}layer { name: "loss" type: "SoftmaxWithLoss" bottom: "ip2" bottom: "label" top: "loss"}
对应图片:
0 0
- CAFFE CIFAR10 MODEL IMAGE 之 cifar10 quick
- CAFFE CIFAR10 MODEL IMAGE 之 cifar10 full
- CAFFE CIFAR10 MODEL IMAGE 之 cifar10 full sigmoid
- CAFFE CIFAR10 MODEL IMAGE 之 cifar10 full sigmoid bn
- Caffe:cifar10
- caffe cifar10 net笔记
- Caffe-CIFAR10实验
- caffe学习1--cifar10
- 【caffe-windows】 caffe-master 之 cifar10 超详细
- caffe学习笔记之Caffe for Windows 训练cifar10
- 使用Tensorboard 分析cifar10 model
- caffe for windows 训练cifar10
- caffe for windows 训练cifar10
- caffe for windows 训练cifar10
- caffe for windows 训练cifar10
- Caffe for Windows 训练cifar10
- caffe for windows 训练cifar10
- caffe for windows 训练cifar10
- 關於JAVA中String类以形参传递到函数里面,修改后外面引用不能获取到更改后的值
- 欧盟要求谷歌停止Android垄断行为 可能提出罚款
- oracle pl/sql 函数
- Java排序算法总结与实现
- 阿里云 CentOS 7 WarkMan环境配置中 pcntl的问题
- CAFFE CIFAR10 MODEL IMAGE 之 cifar10 quick
- Oracle设置空闲客户端超时退出的两种方法
- Python字符串与编码
- 45. Jump Game II(贪心)(hard)
- [Redis系列]专题一:快速入门
- 判断素数
- hduacm 1106 题解报告
- 222. Count Complete Tree Nodes(leetcode) 超时
- Shiro基础知识08----拦截器介绍