Namrah Rehman
Namrah Rehman
@qasfb almost the same as validation accuracy. Over fitting is not an issue.
Yes, so the learning rate decreases by a factor of 0.0001.
@qasfb I tried you suggestion on cifar10 and following are the results: With Scheduler:  Without Scheduler:  I trained without the scheduler for 20 more epochs, though it seems...
@jack89roberts I will try your suggestions and post my results here soon. Thank you so much. If fine-tuning is not possible (or not the objective of the authors) then there...
Thank you so much @CUN-bjy, it worked! However, I couldn't classify the images due to limited computing resources. Thanks again for your help!