Mingx9527

message PoolingParameter {enum PoolMethod {MAX = 0;AVE = 1;STOCHASTIC = 2;}optional PoolMethod pool = 1 [default = MAX]; // The pooling method// Pad, kernel size, and stride are all given as a ...

message CropParameter {// To crop, elements of the first bottom are selected to fit the dimensions// of the second, reference bottom. The crop is configured by// - the crop axis to pick the dimensi...

Eltwise Layer是对多个bottom进行操作计算并将结果赋值给top，一般特点：多个输入一个输出首先看下Eltwise层的参数：message EltwiseParameter { enum EltwiseOp { PROD = 0; //点乘 SUM = 1; //加减（默认） MAX = 2; //最大值 }...

Slice Layer 的作用是将bottom按照需要切分成多个tops首先我们先看一下slice layer 在prototxt里面的书写：layer { name: "slice" type: "Slice" bottom: "input&a

TanH Layer 是DL中非线性激活的一种，CNN中比较少见首先我们先看一下 PowerParametermessage PowerParameter { // PowerLayer computes outputs y = (shift + scale * x) ^ power. optional float power = 1 [default = 1.0]; op...

TanH Layer 是DL中非线性激活的一种，在深层CNN中，中间层用得比较少，容易造成梯度消失（当然不是绝对不用）；在GAN或一些网络的输出层常用到首先我们先看一下 TanHParametermessage TanHParameter { enum Engine { DEFAULT = 0; CAFFE = 1; CUDNN = 2; } o...

message SigmoidParameter {enum Engine {DEFAULT = 0;CAFFE = 1;CUDNN = 2;}optional Engine engine = 1 [default = DEFAULT];}

message ConvolutionParameter {optional uint32 num_output = 1; // The number of outputs for the layeroptional bool bias_term = 2 [default = true]; // whether to have bias terms// Pad, kernel size, a...

message DropoutParameter {optional float dropout_ratio = 1 [default = 0.5]; // dropout ratio}// DummyDataLayer fills any number of arbitrarily shaped blobs with random// (or constant) data generat...

// Message that stores parameters used by SoftmaxLayer, SoftmaxWithLossLayermessage SoftmaxParameter {enum Engine {DEFAULT = 0;CAFFE = 1;CUDNN = 2;}optional Engine engine = 1 [default = DEFAULT...

message InnerProductParameter {optional uint32 num_output = 1; // The number of outputs for the layeroptional bool bias_term = 2 [default = true]; // whether to have bias termsoptional FillerParame...

// Message that stores parameters used by ReLULayermessage ReLUParameter {// Allow non-zero slope for negative inputs to speed up optimization// Described in:// Maas, A. L., Hannun, A. Y., & N...

message BatchNormParameter {// If false, accumulate global mean/variance values via a moving average. If// true, use those accumulated values instead of computing mean/variance// across the batch....

message ScaleParameter {// The first axis of bottom[0] (the first input Blob) along which to apply// bottom[1] (the second input Blob). May be negative to index from the end// (e.g., -1 for the la...

message ConcatParameter {// The axis along which to concatenate – may be negative to index from the// end (e.g., -1 for the last axis). Other axes must have the// same dimension for all the bottom...

@hanbingtao 2017-08-28 19:53 字数 28345 阅读 234134零基础入门深度学习(4) - 卷积神经网络机器学习 深度学习入门无论即将到来的是大数据时代还是人工智能时代，亦或是传统行业使用人工智能在云上处理大数据的时代，作为一个有理想有追求的程序员，不懂深度学习（Deep Learning）这个超热的技术，会不会感觉马上就out了？现在救命稻草来了，《零基础入...