- Add lenet_test-memory-10.prototxt as example

Author: initialneil

caffe/examples/mnist/lenet_test-memory-10.prototxt

@@ -0,0 +1,125 @@
+name: "LeNet"
+layers {
+  name: "data"
+  type: MEMORY_DATA
+  top: "data"
+  top: "label"
+  memory_data_param 
+  {
+    batch_size: 10
+    channels: 1
+    height: 28
+    width: 28
+  }
+  transform_param {
+    scale: 0.00390625
+  }
+}
+
+layers {
+  name: "conv1"
+  type: CONVOLUTION
+  bottom: "data"
+  top: "conv1"
+  blobs_lr: 1
+  blobs_lr: 2
+  convolution_param {
+    num_output: 20
+    kernel_size: 5
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+    }
+  }
+}
+layers {
+  name: "pool1"
+  type: POOLING
+  bottom: "conv1"
+  top: "pool1"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layers {
+  name: "conv2"
+  type: CONVOLUTION
+  bottom: "pool1"
+  top: "conv2"
+  blobs_lr: 1
+  blobs_lr: 2
+  convolution_param {
+    num_output: 50
+    kernel_size: 5
+    stride: 1
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+    }
+  }
+}
+layers {
+  name: "pool2"
+  type: POOLING
+  bottom: "conv2"
+  top: "pool2"
+  pooling_param {
+    pool: MAX
+    kernel_size: 2
+    stride: 2
+  }
+}
+layers {
+  name: "ip1"
+  type: INNER_PRODUCT
+  bottom: "pool2"
+  top: "ip1"
+  blobs_lr: 1
+  blobs_lr: 2
+  inner_product_param {
+    num_output: 500
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+    }
+  }
+}
+layers {
+  name: "relu1"
+  type: RELU
+  bottom: "ip1"
+  top: "ip1"
+}
+layers {
+  name: "ip2"
+  type: INNER_PRODUCT
+  bottom: "ip1"
+  top: "ip2"
+  blobs_lr: 1
+  blobs_lr: 2
+  inner_product_param {
+    num_output: 10
+    weight_filler {
+      type: "xavier"
+    }
+    bias_filler {
+      type: "constant"
+    }
+  }
+}
+
+layers {
+  name: "prob"
+  type: SOFTMAX
+  bottom: "ip2"
+  top: "prob"
+}