will 1st-5th groups C3D weights modified via back-propagation?

[rambleramble]

It seems that the 1st-5th group won't be changing weights during the training since there is a pre-trained model in your description below:
"The C3D model weight pretrained on Sports1M and finetuned on ActivityNet dataset"

Is this a correct understanding?
Can you provide a more comprehensive expalantion about "end-to-end", in terms of training via back-propagation? For instance, maybe we can use your paper's Fighure 2 as a reference.
Thanks a lot!

[huijuan88]

The learning rate at these layers can also be open. But the training time will increase. It is a trade-off. On Jan 29, 2019, at 09:49, rambleramble <notifications@github.com<mailto:notifications@github.com>> wrote: It seems that the 1st-5th group won't be changing weights during the training since there is a pre-trained model in your description<https://github.com/VisionLearningGroup/R-C3D/blob/master/experiments/thumos14/train.prototxt> "The C3D model weight pretrained on Sports1M and finetuned on ActivityNet dataset" Is this a correct understanding? Can you provide a more comprehensive expalantion about "end-to-end", in terms of training via back-propagation? For instance, maybe we can use your paper's Fighure 2 as a reference. Thanks a lot! — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub<#52>, or mute the thread<https://github.com/notifications/unsubscribe-auth/AFOa_6ulddnCweImNq14YMqW0bIMTJ7Gks5vIKW1gaJpZM4aYzWA>.