How Loss And Metric Are Calculated In Cntk

I am new to cntk and python. I have created a python program based on TrainResNet_CIFAR10.py to train 4736 of (64x64x3) images and test 2180 images with 4 classes. After train 160

Solution 1:

(1) Yes.

(2) 29.37% mean that 29.37% of the classification are correct. Evaluation is on the test data, assuming you are reading both training and test data.

(3) Make sure that the input is the same format, by that I mean do you normalize or subtract the mean in your python, if so then you need to do the same in C#. Can you run the eval first using Python and see what result do you get?