GAN

代码说明：

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