Hello,
I am facing a issue regarding visualization with ipython. The thing is that I am using a dataset generated using mnist dataset with Lenet architecture provided on caffe for a classification problem. However I obtained almost 90% of accuracy, but when I try to visualize it on ipython using and just modifying "classification" notebook example, the class predictions are so inaccurate. Any hints or ideas about what the issue might be would be really appreciated.
By the way, from the lenet architecture and deploy file, I just changed the source path in the data layer, kernel size and the number of output of the last fully connected layer.
Thnx