random_liu_2013

opencv dnn tensorflow2.x

问题是什么？问题是，给定一封邮件，判定它是否属于垃圾邮件。按照先例，我们还是用 D 来表示这封邮件，注意 D 由 N 个单词组成。我们用 h+ 来表示垃圾邮件，h- 表示正常邮件。问题可以形式化地描述为求：P(h+|D) = P(h+) * P(D|h+) / P(D)P(h-|D) = P(h-) * P(D|h-) / P(D)其中 P(h+) 和 P(h-

http://www-prima.inrialpes.fr/FGnet/data/10-Gesture/gestures/main.html

import tensorflow as tfimport numpy as npIMGSIZE = 28IMG_CH = 1CONV_1_W_SIZE = 5CONV_1_KER_NUM = 32CONV_2_W_SIZE = 5CONV_2_KER_NUM = 64FC_1_NUM = 512OUT_NUM = 10def get_weight(shape,reg,...

import input_dataimport tensorflow as tfimport numpy as npimport lenet_forwardBATCH_SIZ = 100REG = 0.0001STEPS = 20000def backward(mnist): x = tf.placeholder(tf.float32,shape=(BATCH_SI...

%%%三层神经网络adam优化%%clear;clc;X =2*rand(2,1000)-1;N = size(X,2); Y = zeros(1,N);for i=1:N    Y(i) = X(1,i)^2+X(2,i)^2>0.7;endsum(Y)net_1 = 4;net_2 = 2;W1 = sqrt(2/(net_1+2))* randn(n...

#include <opencv2/opencv.hpp>#include <vector>using namespace std;using namespace cv;using namespace cv::dnn;// Initialize the parametersfloat confThreshold = 0.2; // Confidence ...