Hi.
I try to finetuning about each imagenet pre-trained model(original vgg16 vs VGG-16_3C4x) using my new data.
I was successful learning(finetuning) using the channel_pruning_VGG-16_3C4x model you provided.
When referring to only a single image, the inference time is not different from the original model.
Hi. I try to finetuning about each imagenet pre-trained model(original vgg16 vs VGG-16_3C4x) using my new data. I was successful learning(finetuning) using the channel_pruning_VGG-16_3C4x model you provided. When referring to only a single image, the inference time is not different from the original model.
"https://github.com/yihui-he/channel-pruning/wiki/inference-time-on-GPU" is very different from here. Could you tell me why? @yihui-he