These are chat archives for beniz/deepdetect
convnettemplate and define your
layersvia the API, or just write your own
prototxtdown. If you do so, it's easier to start with a basic convnet via the API and modify the
prototxtfiles afterwards. Now, if you really just want the LeNet architecture for MNIST, take the
prototxtfiles and modify them so that the inputs look like those of the
googlenet). Now, a third even easier option for MNIST, is to compile with unit tests support, and grab the MNIST files that are part of our unit tests as they include the modified
prototxt. Look at the README for building with the unit tests, then look into
build/examples/caffe/mnist. You can let me know how it goes.
/predictcall. At the moment, one hack to do so without iterating the db yourself could be to edit the
deploy.prototxtfile, but I wouldn't really do that. One more point, using
measuresobject gives you information from the confusion matrix, which is not exactly what you are asking, but it might help.