在辨别器后用了8个卷积层,每个Conv后跟BN层,采用LeakyRelu作为激活函数,论文里最后用两个全连接层和最终的sigmoid激活函数得到预测为自然图像的概率,代码中使用的激活函数为Sigmoid函数,并在最后使用FCN代替了原始论文中的FC层。 LeakyReLU和PReLU的区别:https://blog.csdn.net...
The neurons are modeled in the nodes with activation functions (usually sigmoid) using the weighted sum of inputs. These networks are typically organized into layers, where the output from the previous layer becomes an input to a successive one. This architecture of networks is employed for ...
The neurons are modeled in the nodes with activation functions (usually sigmoid) using the weighted sum of inputs. These networks are typically organized into layers, where the output from the previous layer becomes an input to a successive one. This architecture of networks is employed for ...