Hi all,
while training a CNN called DPNet I noticed that training was faster on CPU(i7) than GPU(NVIDIA GTX 1050). As far as I understand, GPU should be faster than CPU for training CNNs.
Any ideas/reasons for this behavior?
Training configuration:
Dataset: 40,000 samples
Batch size: 64
learning rate: 0.01
learning rate decay: 10% for every 8000 iterations.