Hi,
I have view the structure of autocolorize.prototxt and train_vgg16.prototxt in netscope,I think the train_vgg16.prototxt is for training and the autocolorize.prototxt is for inference,but I found that except the layers in VGG, there are many layers in autocolorize.prototxt but not in train_vgg16.prototxt ,for example, _reshaped,_full_reshaped,*_full,prediction_h,prediction_c, many of these layers have params to learn when there type is conv or deconv,but there are no these layers in the training protxt,so How can you get these params when you inference? Could you please help ,me,Thank you!
Hi, I have view the structure of autocolorize.prototxt and train_vgg16.prototxt in netscope,I think the train_vgg16.prototxt is for training and the autocolorize.prototxt is for inference,but I found that except the layers in VGG, there are many layers in autocolorize.prototxt but not in train_vgg16.prototxt ,for example, _reshaped,_full_reshaped,*_full,prediction_h,prediction_c, many of these layers have params to learn when there type is conv or deconv,but there are no these layers in the training protxt,so How can you get these params when you inference? Could you please help ,me,Thank you!