​生成手写数字图片，一共提供了三种算法我要分享

GAN-Base-on-Matlab-master

GAN-Base-on-Matlab-master\.gitignore

GAN-Base-on-Matlab-master\LICENSE

GAN-Base-on-Matlab-master\README.md

GAN-Base-on-Matlab-master\activation

GAN-Base-on-Matlab-master\activation\activate_z.m

GAN-Base-on-Matlab-master\activation\delta_activation_function.m

GAN-Base-on-Matlab-master\activation\delta_leaky_relu.m

GAN-Base-on-Matlab-master\activation\delta_relu.m

GAN-Base-on-Matlab-master\activation\delta_sigmoid.m

GAN-Base-on-Matlab-master\activation\delta_tanh.m

GAN-Base-on-Matlab-master\activation\leaky_relu.m

GAN-Base-on-Matlab-master\activation\relu.m

GAN-Base-on-Matlab-master\activation\sigmoid.m

GAN-Base-on-Matlab-master\error_term

GAN-Base-on-Matlab-master\error_term\delta_sigmoid_cross_entropy.m

GAN-Base-on-Matlab-master\error_term\get_error_term_from_atrous_conv2d_layer.m

GAN-Base-on-Matlab-master\error_term\get_error_term_from_batch_norm_layer.m

GAN-Base-on-Matlab-master\error_term\get_error_term_from_conv2d_layer.m

GAN-Base-on-Matlab-master\error_term\get_error_term_from_conv2d_transpose_layer.m

GAN-Base-on-Matlab-master\error_term\get_error_term_from_fully_connect_layer.m

GAN-Base-on-Matlab-master\error_term\get_error_term_from_reshape_layer.m

GAN-Base-on-Matlab-master\error_term\get_error_term_from_sub_sampling_layer.m

GAN-Base-on-Matlab-master\error_term\sigmoid_cross_entropy.m

GAN-Base-on-Matlab-master\example_1.m

GAN-Base-on-Matlab-master\example_2.m

GAN-Base-on-Matlab-master\example_3.m

GAN-Base-on-Matlab-master\gan_train.m

GAN-Base-on-Matlab-master\gradient

GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_atrous_conv2d_layer.m

GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_batch_norm_layer.m

GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_conv2d_layer.m

GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_conv2d_transpose_layer.m

GAN-Base-on-Matlab-master\gradient\calculate_gradient_for_fully_connect_layer.m

GAN-Base-on-Matlab-master\layer

GAN-Base-on-Matlab-master\layer\atrous_conv2d.m

GAN-Base-on-Matlab-master\layer\batch_norm.m

GAN-Base-on-Matlab-master\layer\check_layer_field_names.m

GAN-Base-on-Matlab-master\layer\conv2d.m

GAN-Base-on-Matlab-master\layer\conv2d_transpose.m

GAN-Base-on-Matlab-master\layer\reshape_operation.m

GAN-Base-on-Matlab-master\layer\setup_atrous_conv2d_layer.m

GAN-Base-on-Matlab-master\layer\setup_batch_norm_layer.m

GAN-Base-on-Matlab-master\layer\setup_conv2d_layer.m

GAN-Base-on-Matlab-master\layer\setup_conv2d_transpose_layer.m

GAN-Base-on-Matlab-master\layer\setup_fully_connect_layer.m

GAN-Base-on-Matlab-master\layer\setup_reshape_layer.m

GAN-Base-on-Matlab-master\layer\setup_sub_sampling_layer.m

GAN-Base-on-Matlab-master\layer\sub_sample.m

GAN-Base-on-Matlab-master\nerual_network_flow

GAN-Base-on-Matlab-master\nerual_network_flow\nn_applygrads_adam.m

GAN-Base-on-Matlab-master\nerual_network_flow\nn_applygrads_sgd.m

GAN-Base-on-Matlab-master\nerual_network_flow\nn_bp_d.m

GAN-Base-on-Matlab-master\nerual_network_flow\nn_bp_g.m

GAN-Base-on-Matlab-master\nerual_network_flow\nn_ff.m

GAN-Base-on-Matlab-master\nerual_network_flow\nn_setup.m

GAN-Base-on-Matlab-master\readme_images

GAN-Base-on-Matlab-master\readme_images\1.png

GAN-Base-on-Matlab-master\readme_images\2.png

GAN-Base-on-Matlab-master\readme_images\3.png

GAN-Base-on-Matlab-master\setup_environment.m

GAN-Base-on-Matlab-master\test

GAN-Base-on-Matlab-master\test\convolution_process.m

GAN-Base-on-Matlab-master\util

GAN-Base-on-Matlab-master\util\argparse.m

GAN-Base-on-Matlab-master\util\expand.m

GAN-Base-on-Matlab-master\util\flipall.m

GAN-Base-on-Matlab-master\util\insert_zeros_into_array.m

GAN-Base-on-Matlab-master\util\padding_height_width_in_array.m

GAN-Base-on-Matlab-master\util\save_images.m