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GAN

于 2019-12-03 发布
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下载积分: 1 下载次数: 29
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说明：  利用matlab构成的GAN自动生成网络，网上大牛做的觉得挺好就放上来了，献给需要的人(Using matlab constitute GAN automatic generation network, online cattle do feel good put up, dedicated to the need of people)

文件列表：

GAN-Base-on-Matlab-master, 0 , 2019-08-26
GAN-Base-on-Matlab-master\.gitignore, 5 , 2019-03-22
GAN-Base-on-Matlab-master\LICENSE, 1350 , 2019-03-22
GAN-Base-on-Matlab-master\README.md, 2786 , 2019-03-22
GAN-Base-on-Matlab-master\activation, 0 , 2019-08-26
GAN-Base-on-Matlab-master\activation\activate_z.m, 472 , 2019-03-22
GAN-Base-on-Matlab-master\activation\delta_activation_function.m, 559 , 2019-03-22
GAN-Base-on-Matlab-master\activation\delta_leaky_relu.m, 157 , 2019-03-22
GAN-Base-on-Matlab-master\activation\delta_relu.m, 144 , 2019-03-22
GAN-Base-on-Matlab-master\activation\delta_sigmoid.m, 213 , 2019-03-22
GAN-Base-on-Matlab-master\activation\delta_tanh.m, 67 , 2019-03-22
GAN-Base-on-Matlab-master\activation\leaky_relu.m, 169 , 2019-03-22
GAN-Base-on-Matlab-master\activation\relu.m, 83 , 2019-03-22
GAN-Base-on-Matlab-master\activation\sigmoid.m, 60 , 2019-03-22
GAN-Base-on-Matlab-master\error_term, 0 , 2019-08-26
GAN-Base-on-Matlab-master\error_term\delta_sigmoid_cross_entropy.m, 694 , 2019-03-22
GAN-Base-on-Matlab-master\error_term\get_error_term_from_atrous_conv2d_layer.m, 553 , 2019-03-22
GAN-Base-on-Matlab-master\error_term\get_error_term_from_batch_norm_layer.m, 1441 , 2019-03-22
GAN-Base-on-Matlab-master\error_term\get_error_term_from_conv2d_layer.m, 546 , 2019-08-26
GAN-Base-on-Matlab-master\error_term\get_error_term_from_conv2d_transpose_layer.m, 1936 , 2019-03-22
GAN-Base-on-Matlab-master\error_term\get_error_term_from_fully_connect_layer.m, 121 , 2019-03-22
GAN-Base-on-Matlab-master\error_term\get_error_term_from_reshape_layer.m, 137 , 2019-03-22
GAN-Base-on-Matlab-master\error_term\get_error_term_from_sub_sampling_layer.m, 374 , 2019-03-22
GAN-Base-on-Matlab-master\error_term\sigmoid_cross_entropy.m, 284 , 2019-03-22
GAN-Base-on-Matlab-master\example_1.m, 1603 , 2019-08-26
GAN-Base-on-Matlab-master\example_2.m, 1144 , 2019-03-22
GAN-Base-on-Matlab-master\example_3.m, 1277 , 2019-03-22
GAN-Base-on-Matlab-master\example_4.m, 1372 , 2019-08-26
GAN-Base-on-Matlab-master\gan_train.m, 3196 , 2019-03-22
GAN-Base-on-Matlab-master\gradient, 0 , 2019-08-26
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_atrous_conv2d_layer.m, 772 , 2019-03-22
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_batch_norm_layer.m, 731 , 2019-03-22
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_conv2d_layer.m, 739 , 2019-03-22
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_conv2d_transpose_layer.m, 1260 , 2019-03-22
GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_fully_connect_layer.m, 179 , 2019-03-22
GAN-Base-on-Matlab-master\layer, 0 , 2019-08-26
GAN-Base-on-Matlab-master\layer\atrous_conv2d.m, 893 , 2019-08-26
GAN-Base-on-Matlab-master\layer\batch_norm.m, 1074 , 2019-03-22
GAN-Base-on-Matlab-master\layer\check_layer_field_names.m, 579 , 2019-03-22
GAN-Base-on-Matlab-master\layer\conv2d.m, 1062 , 2019-08-26
GAN-Base-on-Matlab-master\layer\conv2d_transpose.m, 1933 , 2019-03-22
GAN-Base-on-Matlab-master\layer\reshape_operation.m, 300 , 2019-03-22
GAN-Base-on-Matlab-master\layer\setup_atrous_conv2d_layer.m, 1526 , 2019-03-22
GAN-Base-on-Matlab-master\layer\setup_batch_norm_layer.m, 751 , 2019-03-22
GAN-Base-on-Matlab-master\layer\setup_conv2d_layer.m, 1594 , 2019-03-22
GAN-Base-on-Matlab-master\layer\setup_conv2d_transpose_layer.m, 5976 , 2019-03-22
GAN-Base-on-Matlab-master\layer\setup_fully_connect_layer.m, 704 , 2019-03-22
GAN-Base-on-Matlab-master\layer\setup_reshape_layer.m, 454 , 2019-03-22
GAN-Base-on-Matlab-master\layer\setup_sub_sampling_layer.m, 389 , 2019-03-22
GAN-Base-on-Matlab-master\layer\sub_sample.m, 346 , 2019-03-22
GAN-Base-on-Matlab-master\nerual_network_flow, 0 , 2019-08-26
GAN-Base-on-Matlab-master\nerual_network_flow\nn_applygrads_adam.m, 1408 , 2019-03-22
GAN-Base-on-Matlab-master\nerual_network_flow\nn_applygrads_sgd.m, 602 , 2019-03-22
GAN-Base-on-Matlab-master\nerual_network_flow\nn_bp_d.m, 2904 , 2019-03-22
GAN-Base-on-Matlab-master\nerual_network_flow\nn_bp_g.m, 2981 , 2019-03-22
GAN-Base-on-Matlab-master\nerual_network_flow\nn_ff.m, 1633 , 2019-03-22
GAN-Base-on-Matlab-master\nerual_network_flow\nn_setup.m, 1157 , 2019-03-22
GAN-Base-on-Matlab-master\readme_images, 0 , 2019-08-26
GAN-Base-on-Matlab-master\readme_images\1.png, 3660 , 2019-03-22
GAN-Base-on-Matlab-master\readme_images\2.png, 3589 , 2019-03-22
GAN-Base-on-Matlab-master\readme_images\3.png, 4283 , 2019-03-22
GAN-Base-on-Matlab-master\results, 0 , 2019-12-03
GAN-Base-on-Matlab-master\setup_environment.m, 296 , 2019-03-22
GAN-Base-on-Matlab-master\test, 0 , 2019-08-26
GAN-Base-on-Matlab-master\test\convolution_process.m, 1821 , 2019-03-22
GAN-Base-on-Matlab-master\util, 0 , 2019-08-26
GAN-Base-on-Matlab-master\util\argparse.m, 259 , 2019-03-22
GAN-Base-on-Matlab-master\util\expand.m, 1958 , 2019-03-22
GAN-Base-on-Matlab-master\util\flipall.m, 77 , 2019-03-22
GAN-Base-on-Matlab-master\util\insert_zeros_into_array.m, 329 , 2019-03-22
GAN-Base-on-Matlab-master\util\padding_height_width_in_array.m, 476 , 2019-03-22
GAN-Base-on-Matlab-master\util\save_images.m, 623 , 2019-03-22

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  • 0999
    卡尔曼滤波是一种数据处理方法，它是一种线性最小方差无偏估计准则，基于系统 状态估计和当前观测，通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法；并通过仿真，显示卡尔曼滤波的功能，以及如何用它来跟踪方向确定、速度恒定的飞行器。 (Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.)
    2013-09-06 10:21:27下载
    积分：1
  • StOMP
    分段自适应正交匹配追踪StOMP算法源程序，压缩感知里面很好的算法(Orthogonal Matching Pursuit StOMP adaptive segmentation algorithm source code, a good algorithm inside compressed sensing)
    2020-11-24 15:19:32下载
    积分：1
  • weighted-least-squares-filter
    基于加权最小二乘最优化框架的滤波器。可用于实现图像的分层编辑。(Weighted least square)
    2021-04-22 10:28:48下载
    积分：1
  • surf1
    surf特征点提取与匹配，该算法能达到实时性的要求，不仅能用于两幅图的匹配，还能用于单幅图的复制粘贴取证(surf feature point extraction and matching, this algorithm can achieve real-time requirements, not only for the two graph matching, but also for single figure copy and paste forensics)
    2013-05-26 17:46:37下载
    积分：1
  • Desktop
    用于图像、图形的增强处理，效果非常明显，希望采纳(For images, graphics, enhanced processing, the effect is very obvious, hope to adopt)
    2015-07-18 14:26:32下载
    积分：1
  • DCT
    该函数用来实现快速离散余弦变换。该函数利用2N点的快速付立叶变换来实现离散余弦变换(This function is used to implement fast discrete cosine transform. 2N points of the function using the fast Fourier transform to achieve the discrete cosine transform)
    2010-11-15 09:53:27下载
    积分：1
  • ASR_fusion
    该文件包含与以下文件相关的代码： Y.Liu和Z.Wang具有自适应稀疏表示的同时图像融合和去噪(This package contains the code which is associated with the following paper: Y. Liu and Z. Wang Simultaneous image fusion and denoising with adaptive sparse representatio)
    2020-07-13 17:08:52下载
    积分：1
  • matlab图像稀疏表示代码
    matlab图像稀疏表示的代码。比较详细。(Matlab image sparse representation of code.)
    2018-04-13 14:30:05下载
    积分：1
  • 最大最小距离算法matlab代码
    最大最小距离算法matlab代码，注释比较详细(Maximum minimum distance algorithm matlab code)
    2018-05-12 16:13:29下载
    积分：1
  • SRAD-denoising
    能够实现对SAR图像和其他类型的包含大量噪声的图像进行平滑去噪，在去除噪声的同时还能保持并增强边缘，适用于目标提取。(SAR images can be achieved and other types of containing large amount of noise in the image smoothing denoising, remove the noise while maintaining and enhancing the edge, suitable for object extraction.)
    2013-07-23 10:34:15下载
    积分：1
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