登录
首页 » matlab » GAN-Base-on-Matlab-master

GAN-Base-on-Matlab-master

于 2019-01-09 发布
0 235
下载积分: 1 下载次数: 21

代码说明:

说明:  生成手写数字图片,一共提供了三种算法,example_1和example_2训练GAN来生成手写数字图片,搭建了一个简单的GAN的网络结构,example_3难度较大(There are three algorithms to generate handwritten digital pictures. Example_1 and example_2 train GAN to generate handwritten digital pictures, and build a simple network structure of GAN. Example_3 is more difficult.)

文件列表:

GAN-Base-on-Matlab-master, 0 , 2018-12-12
GAN-Base-on-Matlab-master\.gitignore, 5 , 2018-12-12
GAN-Base-on-Matlab-master\LICENSE, 1350 , 2018-12-12
GAN-Base-on-Matlab-master\README.md, 2762 , 2018-12-12
GAN-Base-on-Matlab-master\activation, 0 , 2018-12-12
GAN-Base-on-Matlab-master\activation\activate_z.m, 472 , 2018-12-12
GAN-Base-on-Matlab-master\activation\delta_activation_function.m, 559 , 2018-12-12
GAN-Base-on-Matlab-master\activation\delta_leaky_relu.m, 157 , 2018-12-12
GAN-Base-on-Matlab-master\activation\delta_relu.m, 144 , 2018-12-12
GAN-Base-on-Matlab-master\activation\delta_sigmoid.m, 213 , 2018-12-12
GAN-Base-on-Matlab-master\activation\delta_tanh.m, 67 , 2018-12-12
GAN-Base-on-Matlab-master\activation\leaky_relu.m, 169 , 2018-12-12
GAN-Base-on-Matlab-master\activation\relu.m, 83 , 2018-12-12
GAN-Base-on-Matlab-master\activation\sigmoid.m, 60 , 2018-12-12
GAN-Base-on-Matlab-master\error_term, 0 , 2018-12-12
GAN-Base-on-Matlab-master\error_term\delta_sigmoid_cross_entropy.m, 694 , 2018-12-12
GAN-Base-on-Matlab-master\error_term\get_error_term_from_atrous_conv2d_layer.m, 554 , 2018-12-12
GAN-Base-on-Matlab-master\error_term\get_error_term_from_batch_norm_layer.m, 1441 , 2018-12-12
GAN-Base-on-Matlab-master\error_term\get_error_term_from_conv2d_layer.m, 554 , 2018-12-12
GAN-Base-on-Matlab-master\error_term\get_error_term_from_conv2d_transpose_layer.m, 1936 , 2018-12-12
GAN-Base-on-Matlab-master\error_term\get_error_term_from_fully_connect_layer.m, 121 , 2018-12-12
GAN-Base-on-Matlab-master\error_term\get_error_term_from_reshape_layer.m, 137 , 2018-12-12
GAN-Base-on-Matlab-master\error_term\get_error_term_from_sub_sampling_layer.m, 374 , 2018-12-12
GAN-Base-on-Matlab-master\error_term\sigmoid_cross_entropy.m, 284 , 2018-12-12
GAN-Base-on-Matlab-master\example_1.m, 1582 , 2018-12-12
GAN-Base-on-Matlab-master\example_2.m, 1144 , 2018-12-12
GAN-Base-on-Matlab-master\example_3.m, 1277 , 2018-12-12
GAN-Base-on-Matlab-master\gan_train.m, 2922 , 2018-12-12
GAN-Base-on-Matlab-master\gradient, 0 , 2018-12-12
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_atrous_conv2d_layer.m, 773 , 2018-12-12
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_batch_norm_layer.m, 731 , 2018-12-12
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_conv2d_layer.m, 739 , 2018-12-12
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_conv2d_transpose_layer.m, 1260 , 2018-12-12
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_fully_connect_layer.m, 179 , 2018-12-12
GAN-Base-on-Matlab-master\layer, 0 , 2018-12-12
GAN-Base-on-Matlab-master\layer\atrous_conv2d.m, 893 , 2018-12-12
GAN-Base-on-Matlab-master\layer\batch_norm.m, 1074 , 2018-12-12
GAN-Base-on-Matlab-master\layer\check_layer_field_names.m, 579 , 2018-12-12
GAN-Base-on-Matlab-master\layer\conv2d.m, 1062 , 2018-12-12
GAN-Base-on-Matlab-master\layer\conv2d_transpose.m, 1933 , 2018-12-12
GAN-Base-on-Matlab-master\layer\reshape_operation.m, 300 , 2018-12-12
GAN-Base-on-Matlab-master\layer\setup_atrous_conv2d_layer.m, 1631 , 2018-12-12
GAN-Base-on-Matlab-master\layer\setup_batch_norm_layer.m, 751 , 2018-12-12
GAN-Base-on-Matlab-master\layer\setup_conv2d_layer.m, 1594 , 2018-12-12
GAN-Base-on-Matlab-master\layer\setup_conv2d_transpose_layer.m, 5976 , 2018-12-12
GAN-Base-on-Matlab-master\layer\setup_fully_connect_layer.m, 704 , 2018-12-12
GAN-Base-on-Matlab-master\layer\setup_reshape_layer.m, 454 , 2018-12-12
GAN-Base-on-Matlab-master\layer\setup_sub_sampling_layer.m, 389 , 2018-12-12
GAN-Base-on-Matlab-master\layer\sub_sample.m, 346 , 2018-12-12
GAN-Base-on-Matlab-master\nerual_network_flow, 0 , 2018-12-12
GAN-Base-on-Matlab-master\nerual_network_flow\nn_applygrads_adam.m, 1408 , 2018-12-12
GAN-Base-on-Matlab-master\nerual_network_flow\nn_applygrads_sgd.m, 602 , 2018-12-12
GAN-Base-on-Matlab-master\nerual_network_flow\nn_bp_d.m, 2904 , 2018-12-12
GAN-Base-on-Matlab-master\nerual_network_flow\nn_bp_g.m, 2981 , 2018-12-12
GAN-Base-on-Matlab-master\nerual_network_flow\nn_ff.m, 1633 , 2018-12-12
GAN-Base-on-Matlab-master\nerual_network_flow\nn_setup.m, 1157 , 2018-12-12
GAN-Base-on-Matlab-master\readme_images, 0 , 2018-12-12
GAN-Base-on-Matlab-master\readme_images\1.png, 3660 , 2018-12-12
GAN-Base-on-Matlab-master\readme_images\2.png, 3589 , 2018-12-12
GAN-Base-on-Matlab-master\readme_images\3.png, 4283 , 2018-12-12
GAN-Base-on-Matlab-master\setup_environment.m, 296 , 2018-12-12
GAN-Base-on-Matlab-master\test, 0 , 2018-12-12
GAN-Base-on-Matlab-master\test\convolution_process.m, 1821 , 2018-12-12
GAN-Base-on-Matlab-master\util, 0 , 2018-12-12
GAN-Base-on-Matlab-master\util\argparse.m, 259 , 2018-12-12
GAN-Base-on-Matlab-master\util\expand.m, 1958 , 2018-12-12
GAN-Base-on-Matlab-master\util\flipall.m, 77 , 2018-12-12
GAN-Base-on-Matlab-master\util\insert_zeros_into_array.m, 329 , 2018-12-12
GAN-Base-on-Matlab-master\util\padding_height_width_in_array.m, 476 , 2018-12-12
GAN-Base-on-Matlab-master\util\save_images.m, 623 , 2018-12-12

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • guangbanzhongxintiqu
    本程序主要实现暗背景下含高斯噪声的光斑滤除噪声,实现光斑中心提取。采用了sobel算子和梯度倒数加权滤噪、最大类间方差法(Otsu)确定阈值、质心法提取光斑中心坐标。(The program is mainly realized under a dark background Gaussian noise spot containing noise filtering, to achieve spot center extraction. Using sobel operator and gradient inverse weighting filter noise, Otsu method (Otsu) to determine the threshold, the center coordinates of the spot centroid extraction.)
    2020-09-24 14:37:48下载
    积分:1
  • FaceVerification
    说明:  人脸认证流程,计算人脸认证算法的FAR,FRR(Face verification process, the face authentication algorithm calculated the FAR, FRR)
    2010-04-21 17:22:56下载
    积分:1
  • change
    将一个图像的感兴趣区域替换到另一张图像的相同区域中(Will replace the region of interest of an image to another image of the same region of the)
    2015-04-27 16:58:30下载
    积分:1
  • localostu
    说明:  在 matlab中实现一种局部阈值化图像的算法(In matlab to achieve a local thresholding algorithm for image)
    2008-10-19 09:47:30下载
    积分:1
  • 图像融合
    先进行高斯金字塔分层,在拉普拉斯分解,最终将两幅局部有模糊的图像进行融合,最后显示清晰图像。(First Gaussian pyramid stratification, in Laplace decomposition, the final two local fuzzy image fusion, and finally show a clear image.)
    2017-08-02 15:54:22下载
    积分:1
  • edge
    对图片预处理加入高斯噪声,各种经典边缘检测算子对图像进行边缘提取(Gaussian noise on the image pre-processing, a variety of classic edge detection operator to extract image edge)
    2013-11-25 20:50:35下载
    积分:1
  • 基于MATLAB的小波阈值去噪
    说明:  基于matlab的简易小波阈值去噪,小波变换基础上变换阈值实现对图像的去噪(Matlab based on the simple wavelet transform, simple image denoising)
    2020-05-06 16:56:07下载
    积分:1
  • SAR_KPCA
    基于核函数的SAR图像目标识别,利用KPCA对SAR图像进行特征提取(SAR image target recognition based on kernel function,Use KPCA SAR image feature extraction)
    2021-01-01 21:48:58下载
    积分:1
  • LineTrans
    说明:  该程序实现的功能是:图像反色,线形变换,对于图像处理初学者非常实用。(The realization of the program)
    2008-11-11 16:35:10下载
    积分:1
  • fanyanjiexi
    说明:  仿真获取四幅互差半个像素的低分辨率图像,利用反演解析算法重建出一副高分辨率图像,属于亚像元技术或者超分辨率技术。(Simulation Interoperability poor access to four half-pixel low-resolution images, the use of inversion algorithm for the reconstruction of an analytic high-resolution images, belong to sub-pixel super-resolution technology or technology.)
    2008-10-01 10:07:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载