Closed notabee closed 3 years ago
in discriminator with tf.variable_scope("conv4"): conv4 = default_conv2d(conv3, 1024)
conv4 = layers.batch_normalization(conv3) // here it will be conv4 instead of conv3 ??? conv4 = nn.leaky_relu(conv3,alpha=0.2)
conv4 = layers.batch_normalization(conv3) // here it will be conv4 instead of conv3 ???
conv4 = nn.leaky_relu(conv3,alpha=0.2)
Good catch. Fixing
in discriminator with tf.variable_scope("conv4"): conv4 = default_conv2d(conv3, 1024)