Hi!
Recently, I trained a network which has the architecture similar architecture to GoogleNet to classify sample images into 3 categories. I trained the network on both Theano and Caffe and I realize that there is a gap between accuracies produced by 2 libraries.
Details:
Class | 0 | 1 | 2
Theano | 1% | 1% | 3%
Caffe | 0% | 1% | 11%
The training data set has 5000 images each class. The train/ val data ratio as set at 4:1.
What do you think the reason for the diference?