# How to train a convolutional neural net on images?

The functions Predict[] and Classify[] both have the option Method -> "NeuralNetwork", but all the structure and code is hidden. I'm implementing a cnn or convnet package, hopefully using CUDALink. Can anyone come up with a hello world example for a convnet on a set of annotated images to find logos? Here's the training set I'm using (a list of urls of the images in the training set).

Check out these links for more examples and related documentation:

• Your link convnet doesn't lead to a page about convnet, and your link training set doesn't link to a downloadable archive of images or the archive itself. – C. E. Jan 12 '15 at 18:17
• At this point in time Mathematica is not the most friendly platform for machine learning development. This is because, as you point out, most of its functionality is obscured.From the documentation, it isn't even easy to tell if the implementation supports sparse layer connectivity, or how you might specify that if it did, which you would need for your convolution neural network. Unless someone has done a fair amount of spelunking, a "hello world" example of the type you ask for might be a tall order. – image_doctor Jan 13 '15 at 10:56