(x)

(x)

(x, filter_height, filter_width, num_filters, stride_y, stride_x, name, padding='SAME', groups=1)

(self, x, training=False)

(self, x, training=False)

(x, num_in, num_out, name, relu=True,stddev=0.01)

(self, batch_size)

(self)

(x, filter_height, filter_width, stride_y, stride_x, name, padding='SAME')

(self,batch_size)

(self, path, expected_dims)

(self, path)

(self, path)

(self,x,xt,y,global_step)

(self,learning_rate,train_layers=[])

(x, filter_height, filter_width, num_filters, stride_y, stride_x, name, bn=False,padding='SAME', groups=1)

(x, keep_prob)

(x, num_in, num_out, name, relu=True,bn=False,stddev=0.001)

(targets, nb_classes)

(targets, nb_classes)

(self, batch_x, batch_y=None)

(x, radius, alpha, beta, name, bias=1.0)

(x, filter_height, filter_width, stride_y, stride_x, name, padding='SAME')

(self, learning_rate, train_layers,global_step,source_centroid,target_centroid)

(a,b)

(a,b)

(inputs, model_fn)

(self)

(x)

(x)

(x)

(self,x,xt,y,yt)

(self,learning_rate,train_layers=[])

(self,num_per_class)

(start_rate,epoch,num_epochs)

(start_rate,epoch,num_epochs)

(self)

(self)

(self)

(self)

(self, session, skip_layers=[])

(self, batch_x, batch_y=None)

()

()

(self,batch_size)

(self, learning_rate, train_layers,global_step,source_centroid,target_centroid)

(sc,tc)

(sc,tc)

(self,i)

(self)

(self)

(self)

(self)

(self, dataset_file_path, num_classes, output_size=[227, 227], horizontal_flip=False, shuffle=False,

(self, num_classes=1000, dropout_keep_prob=0.5)

(self, num_classes=1000, is_training=True,image_size=28,dropout_keep_prob=0.5)

(self,path=None,select=[],shuffle=True,output_size=[28,28],output_channel=1,split='train')

(self,path=None,shuffle=True,output_size=[28,28],output_channel=1,split='train',select=[])

(self,num_per_class)

(self,num_per_class)

(start_rate,epoch,num_epochs)

(fn)

(x, keep_prob)

(name)

(image)

(x, alpha=0.2)

(x, alpha=0.2)

(self, session, skip_layers=[])

(x, radius, alpha, beta, name, bias=1.0)

(_)

(_)

(_)

(name)

(image)

(xs,xt,ys,yt)

(self,x,xt,batch_size,lam=10.0)

(self,x,xt,batch_size,lam=10.0)